Jackson Laboratory

Data Science: Pre & Postdoctoral Training

The research environment at JAX is uniquely suited to the integration of experimental and computational biology. JAX offers pre and postdoctoral training opportunities to develop and apply data science methods to accelerate the transformation of data into knowledge about how complex biological systems work.

Postbaccalaureate Training

Let the Postbac at JAX Program help you stand out. Through our two-year semi-structured training program, postbacs immerse themselves in cutting edge research as part of a team
Postdoctoral Associates

JAX offers postdocs a unique research environment with access to unparalleled mammalian genetics resources, scientific services, and professional development programs.

Cooperative Ph.D. Training at JAX

JAX offers Ph.D. students an exceptional opportunity to gain expertise in mammalian genetics and genomics in partnership with our degree-granting partner universities U Conn, Tufts, and U Maine.
JAX Postdoctoral Scholars

The JAX Scholar award offers exceptional early-career scientists the opportunity to develop their independent research program at The Jackson Laboratory in preparation for the next step in their scientific career.
- JAX Scholars

Name	Last Name	Location	Summary	2nd Research Area	Research Area	Lab Affiliation	Job Title
Tamar Abel, Ph.D. Postdoctoral Associate Bar Harbor, ME The Carter Lab Aging Bioinformatics Computational Biology Genetics and Genomics	Abel Tamar Abel, Ph.D.	Bar Harbor, ME	Combines genetic and computational tools to better understand the pathogenesis of complex diseases at a genetic, molecular, and cellular level. Read less Read more… My goal is to model the genetic, molecular, and cellular origins of Alzheimer's pathogenesis using multiomics in novel animal models of late onset disease. As part of the MODEL-AD and associated consortiums I will work to achieve these goals and to compare findings in model systems with data from human populations to increase the translational potential for research findings. Download CV Tamar Abel on Orcid Hide publications Selected publications…	Aging\|Bioinformatics\|Computational Biology\|Genetics and Genomics	Aging\|Bioinformatics\|Computational Biology\|Genetics and Genomics	The Carter Lab	Postdoctoral Associate
Yehya Barakat Predoc Bar Harbor, ME The Kumar Lab Behavioral Disorders Bioinformatics Complex Traits Genetics and Genomics	Barakat Yehya Barakat	Bar Harbor, ME	I am interested in improving drug discovery for neuropsychiatric disorders using genetics and bioinformatics. Read less Read more… I worked as a pharmacist following my undergraduate education. Shortly in my clinical work, I was frustrated with the progress of pharmaceuticals in the field of neuropsychiatric disorders. I was especially moved by my friend's struggles with limerence, a disorder that is still undiagnosable and with very little literature surrounding it. I was motivated to go into a research-based program in Boston; there I received my Master's degree in pharmacology and drug development. I got immersed in the field of neurogenetics by my previous mentor Dr. Leon Reijmers and I have decided that's the type of training I want to focus on. I got accepted to the Tufts-JAX collaborative Ph.D. program in neuroscience and I have never made a better choice than to join this program. Under the mentorship of Dr. Vivek Kumar, I feel I will get the training I need to ask and answer critical questions that can lead to better drug targets for neuropsychiatric disorders with unmet needs. My project is involved in understanding the causal mechanisms involved in age dependent hyperactivity disorder and its relationship to cortical cell death. Download CV Hide publications Selected publications…	Behavioral Disorders\|Bioinformatics\|Complex Traits\|Genetics and Genomics	Behavioral Disorders\|Bioinformatics\|Complex Traits\|Genetics and Genomics	The Kumar Lab	Predoc
Georgia Doing, Ph.D. Postdoctoral Associate Farmington, CT Bioinformatics Computational Biology Genetics and Genomics Infectious Disease Research	Doing Georgia Doing, Ph.D.	Farmington, CT	I study the skin microbiome and the pathobiont Staphylococcus epidermidis, identifying patterns in large compendia of data and testing molecular mechanisms in the laboratory. Read less Read more… I am driven by the stories microbes tell in order to live. My goal in research is to understand the functional diversity of the human microbiome by developing computational tools to facilitate the characterization of less studied species, strains and genes. My academic and research training allow me to probe this fundamental microbiological question using the wealth of publicly available 'omics data using computational methods. As an undergraduate at Bard College I majored in both biology and computer science and as a Ph.D. student in Dr. Deborah Hogan’s laboratory at Dartmouth College I studied microbial interactions between bacterial and fungal opportunistic pathogens. Now, as a postdoc in Dr. Julia Oh's lab, my focus is centered on deciphering molecular mechanisms of microbial and host interactions within health- and disease-promoting microbiomes, with a focus on the opportunistic pathogen Staphylococcus epidermidis. Specifically, I aim to develop and test the utility of a machine-learning model to identify virulence-associated transcriptional signals, validate the predictive utility of the model using gene knock-down experiments, and apply an investigation of gene essentiality to S. epidermidis behavior in polymicrobial co-culture. Education: Dartmouth College Ph.D., microbiology and immunology Adv: Deborah Hogan 2015-2021 Bard College B.A., biology and computer science 2011-2015 Download CV Georgia Doing on Orcid Hide publications Selected publications…	Bioinformatics\|Computational Biology\|Genetics and Genomics\|Infectious Disease Research	Bioinformatics\|Computational Biology\|Genetics and Genomics\|Infectious Disease Research		Postdoctoral Associate
Ryan Englander Predoc Farmington, CT The Anczukow Lab The Palucka Lab Bioinformatics Cancer Genetics and Genomics Immune Disorders	Englander Ryan Englander	Farmington, CT	I am investigating splicing-derived neo-antigens in breast and lung cancer using long-read RNA-sequencing in collaboration with the Palucka Lab. Read less Read more… Leveraging emergent techniques in genetics and immunology to identify and exploit therapeutic vulnerabilities in cancer Hide publications Selected publications…	Bioinformatics\|Cancer\|Genetics and Genomics\|Immune Disorders	Bioinformatics\|Cancer\|Genetics and Genomics\|Immune Disorders	The Anczukow Lab\|The Palucka Lab	Predoc
Ardian Ferraj, Ph.D. Lab Staff\|Predoc Farmington, CT Bioinformatics Computational Biology Genetics and Genomics	Ferraj Ardian Ferraj, Ph.D.	Farmington, CT	My research interests include the application of next generation sequencing and genomic data to answer complex biological questions. Read less Read more… My doctoral research included studying the impact of large genetic variants on diverse genomes, focusing on the effects of mobile element insertions on stem cell transcription. In my current work, I employ advanced sequencing technologies to study tumor-stroma interactions of patient derived xenograft models in cancer therapy. Ardian Ferraj on Orcid Hide publications Selected publications…	Bioinformatics\|Computational Biology\|Genetics and Genomics	Bioinformatics\|Computational Biology\|Genetics and Genomics		Lab Staff\|Predoc
Alexis Garretson, MS Predoc Bar Harbor, ME The Dumont Lab Bioinformatics Complex Traits Computational Biology Genetics and Genomics	Garretson Alexis Garretson, MS	Bar Harbor, ME	Leveraging genetic diversity and computational techniques to investigate the architecture of complex traits Read less Read more… Genetically diverse animal models are critical to understanding complex traits. While the use of classical inbred strains has enabled significant genetic research, these strains do not adequately represent the genetic diversity amongst humans. Multiparent populations like the collaborative cross mice and outbred populations like the diversity outbred mice allow us to model human diversity and better understand the genetic architecture of complex traits. Genetic variation itself, however, can also be considered a complex trait that arises from mutation, recombination, and chromosome assortment. Using diverse mouse strains and computational tools, I am investigating how candidate genes can alter mutation rates and resulting population genetic variability. Download CV Hide publications Selected publications…	Bioinformatics\|Complex Traits\|Computational Biology\|Genetics and Genomics	Bioinformatics\|Complex Traits\|Computational Biology\|Genetics and Genomics	The Dumont Lab	Predoc
Minghao Gong, Ph.D. Postdoctoral Associate Farmington, CT The Li Lab Bioinformatics Computational Biology Immune Disorders Infectious Disease Research	Gong Minghao Gong, Ph.D.	Farmington, CT	Works in the crossroads of microbiology, immunology, and multi-omics analyses (esp. Metabolomics), focused on the metabolomic tools development and the applications of metabolomics in microbe-host interaction and immunological studies. Read less Read more… I have been working across multiple disciplines including immunology, microbiology, and bioinformatics. My research efforts during my Ph. D has built towards the application of multi-omics approaches to understanding microbe-host interaction. Thrilled by the recent development of metabolomics, I committed my efforts to develop metabolomic tools and analysis pipelines to decipher metabolic phenotypes in immune-related disorders and other diseases. My current research includes developing metabolomic tools to the reconstruction of biochemical networks. The milestone towards this will be developing tools to upgrade genome scale metabolic models by using mass spectrometry data, via a combination of computational, genetic, cellular and isotope tracing techniques. Minghao Gong on ORCID Minghao Gong on Google Scholar Hide publications Selected publications…	Bioinformatics\|Computational Biology\|Immune Disorders\|Infectious Disease Research	Bioinformatics\|Computational Biology\|Immune Disorders\|Infectious Disease Research	The Li Lab	Postdoctoral Associate
Takeshi Iwasaki, M.D., Ph.D. Postdoctoral Associate Bar Harbor, ME The Tewhey Lab Bioinformatics Complex Traits Computational Biology Genetics and Genomics	Iwasaki Takeshi Iwasaki, M.D., Ph.D.	Bar Harbor, ME	Functional genomics of autoimmune disease associated genetic variants. Read less Read more… As a rheumatologist, I have been exposed to a mysterious clinical course of patients. A person who was fine yesterday develops joint pain, which spreads to systemic arthritis. Behind this, there must be a complex and ever-changing interaction between genetic polymorphisms and the environment. At JAX, I want to disentangle the fundamental rules governing such interactions one by one, since such an accumulation of efforts will lead to the future treatment of each patient. Download CV Takeshi Iwasaki on Google Scholar Hide publications Selected publications…	Bioinformatics\|Complex Traits\|Computational Biology\|Genetics and Genomics	Bioinformatics\|Complex Traits\|Computational Biology\|Genetics and Genomics	The Tewhey Lab	Postdoctoral Associate
Hyeongu Kang, Ph.D. Postdoctoral Associate Farmington, CT The Anczukow Lab Aging Bioinformatics Cancer	Kang Hyeongu Kang, Ph.D.	Farmington, CT	Transcriptome data analysis, Aberrant RNA splicing mechanism and implications in aging and disease. Read less Read more… - Spatial transcriptome analysis of young and old mice breast tissue to identify an association aging and transcriptome changes - Refinement of the Iso-seq and MAS-seq pipeline and development of RNA splicing consequence estimation approach - Exploring transcriptome changes in longitudinal samples to elucidate PARPi resistance mechanism in ovarian cancer patients - Large-scale isoform analysis to find cancer-specific isoform expression patterns (Long/short read RNA seq) Download CV Hyeongu Kang on Orcid Hide publications Selected publications…	Aging\|Bioinformatics\|Cancer	Aging\|Bioinformatics\|Cancer	The Anczukow Lab	Postdoctoral Associate
Kwondo Kim, Ph.D. Postdoctoral Associate Farmington, CT The Lee Lab Bioinformatics Computational Biology Genetics and Genomics	Kim Kwondo Kim, Ph.D.	Farmington, CT	My studies focus on evolution and function implications of structural variations in human population. Read less Read more… I introduce myself as a computational biologist studying evolution using genomics approaches. Before joining JAX, I have been studying evolution of mammalian including human and livestock animals using population genomics approach. Kwondo Kim on Orcid Kwondo Kim on Research Gate Hide publications Selected publications…	Bioinformatics\|Computational Biology\|Genetics and Genomics	Bioinformatics\|Computational Biology\|Genetics and Genomics	The Lee Lab	Postdoctoral Associate
Lauren Kuffler Lab Staff\|Postdoctoral Associate Bar Harbor, ME The Baker Lab Bioinformatics Data Science at The Jackson Laboratory Complex Traits	Kuffler Lauren Kuffler	Bar Harbor, ME	Investigating the effects of genetic variation on development, disease, and genome stability. Read less Read more… Successful growth of stem cells and embryos can be strongly affected by genetics, with deleterious variants leading to genomic instability, treatment failures or lifelong disease. Thus it is vital to examine development in genetically unique samples, capturing the full diversity of health outcomes and ensuring translatability to underserved human populations. Despite this, diversity is lacking from most studies, and new sequencing technologies lack quality control mechanisms that had become standard in the field. These are major obstacles to capturing and understanding health outcomes in both stem cell-derived therapies and heritable disorders. My objective in the Baker Lab is to leverage genetically diverse stem cell lines to uncover drivers of developmental deficits and cell lineage specification. I propose a novel analytical method, using data collected from genetically unique cell culture lines with deeply characterized pedigrees. We will identify and define developmental effects of genetic variation and aneuploid sub-lines within our data. We will also develop quality control (QC) tools for current state-of-the-art probe-based single cell RNA sequencing platforms (scRNA-seq). We have collected colony morphology and scRNA-seq data from a panel of 144 Diversity Outbred (DO) mouse embryonic stem cell lines (mESCs) have been grown into embryoid bodies (EBs), simulating early development and produced during stem cell differentiation protocols. The DO is drawn from founder strains with known heritable disease risks, which we have also grown and sequenced as reference points. Hide publications Selected publications…	Bioinformatics\|Data Science at The Jackson Laboratory\|Complex Traits	Bioinformatics\|Data Science at The Jackson Laboratory\|Complex Traits	The Baker Lab	Lab Staff\|Postdoctoral Associate
Sonal Kumar Predoc The Carter Lab Aging Bioinformatics Computational Biology Genetics and Genomics	Kumar Sonal Kumar		Studying the basis and progression of Alzheimer's disease using a multi-omics approach. Read less Read more… I am a PhD student in the Tufts University Neuroscience program. I am interested in understanding the contribution of sex-based differences in gene expression in the etiology and progression of Alzheimer's disease. In the Carter lab, I aim to better dissect the heterogeneity of Alzheimer's disease in humans using different model organisms for achieving improved translational outcomes. Sonal Kumar on ORCID Hide publications Selected publications…	Aging\|Bioinformatics\|Computational Biology\|Genetics and Genomics	Aging\|Bioinformatics\|Computational Biology\|Genetics and Genomics	The Carter Lab	Predoc
Peter Larson, BS Predoc Farmington, CT Aging Bioinformatics Computational Biology Genetics and Genomics	Larson Peter Larson, BS	Farmington, CT	Engineering the human skin microbiome to treat diseases and prevent infections. Read less Read more… I've brought my background in synthetic biology to the Oh Lab with the aspiration to leverage the human microbiome (the bacteria, fungi, viruses, and other microbes that live on us) to promote health, prevent infections, and treat diseases. Here I have been engineering Staphylococcus epidermidis, a ubiquitous skin commensal, to detect and kill pathogens, as well as secrete therapeutics. Additionally, I have been conducting a sizable clinical metagenome study investigating the relationship between aging, health, and the microbiome. This study should help us understand how we can leverage the microbiome to promote healthy aging, combat chronic illnesses, and prevent infections commonly acquired by older adults in healthcare settings. Finally, I have been exploring the use of human skin explants and stem cell derived skin “organoids” to model human skin microbiome interactions. This will allow us and others to test engineered skin microbiome therapeutics, and better identify mechanisms by which the skin microbiome modulates health and disease. Download CV Hide publications Selected publications…	Aging\|Bioinformatics\|Computational Biology\|Genetics and Genomics	Aging\|Bioinformatics\|Computational Biology\|Genetics and Genomics		Predoc
Yi Juin Liew, Ph.D. Postdoctoral Associate Farmington, CT The Carter Lab Aging Bioinformatics Genetics and Genomics Neurodegenerative and Neuromuscular Diseases	Liew Yi Juin Liew, Ph.D.	Farmington, CT	Study Alzheimer's disease using omics-based approaches to better understand disease progression. Read less Read more… Completed PhD work in the field of computational neuroscience. Worked on thesis project that studies the transformation of sensory representation across brain structures in the somatosensory pathway. Hide publications Selected publications…	Aging\|Bioinformatics\|Genetics and Genomics\|Neurodegenerative and Neuromuscular Diseases	Aging\|Bioinformatics\|Genetics and Genomics\|Neurodegenerative and Neuromuscular Diseases	The Carter Lab	Postdoctoral Associate
Adrian Melo Carrillo, Ph.D. Postdoctoral Associate Farmington, CT The Robson Lab Bioinformatics Computational Biology Genetics and Genomics	Melo Carrillo Adrian Melo Carrillo, Ph.D.	Farmington, CT	Single-cell comparative multiomics Read less Read more… As an evolutionary biologist, I’m interested in the molecular mechanisms that shape genetic diversity and drive adaptation. Through my work, I aim to uncover new insights into these processes and their implications for human health. Ultimately, I am driven by a vision of using this knowledge to develop innovative research projects that can lead to the improvement of human health. In the Robson lab, I’m part of the Molecular Phenotypes of Null Alleles in Cells (MorPhiC) initiative. I implement single-cell comparative transcriptomics to identify target genes that possess primate-specific features and are implicated in human disease. Before joining the Robson lab, I worked mostly on the evolution of the Major Histocompatibility Complex (MHC) in platyrrhine monkeys, with a focus on gene duplication and species hybridization. Other projects involved phylogeography and conservation genetics of primates in the Americas. More recently, I was part of a familial glioblastoma study that aimed at identifying heritable genetic variants associated with an increased risk of the disease. Adrian Melo Carrillo on Orcid Hide publications Selected publications…	Bioinformatics\|Computational Biology\|Genetics and Genomics	Bioinformatics\|Computational Biology\|Genetics and Genomics	The Robson Lab	Postdoctoral Associate
Lamis Naddaf, Ph.D. Postdoctoral Associate Farmington, CT Aging Bioinformatics Cancer Computational Biology	Naddaf Lamis Naddaf, Ph.D.	Farmington, CT	I utilize computational and machine learning methods to identify genetic and epigenetic signatures associated with aging and cancer. Read less Read more… During my postdoctoral training, I transitioned my research focus to the single-cell level, specifically delving into the investigation of epigenetic patterns in Acute Myeloid Leukemia (AML) within the context of aging. Additionally, I am working on establishing correlations between somatic mutations and these epigenetic changes. This in-depth analysis, which combines multiple types of biological data, has the potential to facilitate early detection, treatment, and prevention of AML in the aging population. We are fortunate to be in an era where biological data is exponentially increasing, awaiting deciphering. The analysis of such vast datasets necessitates the development of novel computational methodologies, a realm I am actively exploring in my postdoctoral research. Download CV Hide publications Selected publications…	Aging\|Bioinformatics\|Cancer\|Computational Biology	Aging\|Bioinformatics\|Cancer\|Computational Biology		Postdoctoral Associate
Francis O'Neill, M.D., M.A. Postdoctoral Associate Farmington, CT The Lau Lab Bioinformatics Cancer Computational Biology Diabetes and Obesity	O'Neill Francis O'Neill, M.D., M.A.	Farmington, CT	My primary area of research is the identification of cancer specific proteins and the development of novel anti-cancer immunotherapies for solid tumors, such as osteosarcoma. Read less Read more… My primary area of research is the identification of cancer specific proteins and the development of novel anti-cancer immunotherapies for solid tumors, such as osteosarcoma. Utilizing high performance computing, we combine RNA sequencing and protein analysis in a proteogenomics workflow. The Jackson Laboratory for Genomic performs both long-read sequencing (Pacific Biosciences platform) and short-read sequencing (Illumina platform) on oncology patient samples. Our hybrid sequencing approach allows for generating a highly accurate cancer transcriptome upon which we can explore multiple biological mechanisms, such as RNA splicing and chromosomal rearrangements, leading to cancer specific mRNA isoforms. Mass spectrometry identification of isoform specific peptides aids in selecting candidates for validation in the laboratory. A central goal of my research is to expand current cancer treatment options and provide novel therapeutic agents with improved tumor specificity. Francis O'Neil on ORCID Hide publications Selected publications…	Bioinformatics\|Cancer\|Computational Biology\|Diabetes and Obesity	Bioinformatics\|Cancer\|Computational Biology\|Diabetes and Obesity	The Lau Lab	Postdoctoral Associate
Hilda Opoku Frempong Predoc Bar Harbor, ME The Dumont Lab Bioinformatics Complex Traits Computational Biology Developmental Disorders	Opoku Frempong Hilda Opoku Frempong	Bar Harbor, ME	Exploring Genetic recombination and Meiotic dysregulation Read less Read more… During meiosis, maternal and paternal chromosomes undergo exchanges by homologous recombination. This is essential for fertility and contributes to genome evolution. In many eukaryotes, sites of meiotic recombination, also called hotspots, are regions of accessible chromatin, but in many vertebrates, their location follows a distinct pattern and is specified by PR domain-containing protein 9 (PRDM9). The control of the recombination landscape by PRDM9 has many implications in terms of the molecular mechanisms underlying the interaction between homologues during meiotic prophase and genetic diversity. My project seeks to explore molecular mechanisms in genetic recombination rate and meiotic dysregulation using mouse hybrids. Hide publications Selected publications…	Bioinformatics\|Complex Traits\|Computational Biology\|Developmental Disorders	Bioinformatics\|Complex Traits\|Computational Biology\|Developmental Disorders	The Dumont Lab	Predoc
Ziwei Pan Predoc Farmington, CT Bioinformatics Computational Biology Genetics and Genomics Cancer	Pan Ziwei Pan	Farmington, CT	I am interested in applying machine learning and advanced statistical modelling into biological questions. Read less Read more… I am a graduate student in Biomedical Sciences in Uconn Health with the supervisor of Dr. Sheng Li. I am interested in applying machine learning and advanced statistical modeling into biological questions. Hide publications Selected publications…	Bioinformatics\|Computational Biology\|Genetics and Genomics\|Cancer	Bioinformatics\|Computational Biology\|Genetics and Genomics\|Cancer		Predoc
Sathyabaarathi Ravichandran, Ph.D. Postdoctoral Associate Farmington, CT The Ucar Lab Aging Bioinformatics Computational Biology Infectious Disease Research	Ravichandran Sathyabaarathi Ravichandran, Ph.D.	Farmington, CT	Focuses on understanding the age-associated changes in immune responses to vaccination, particularly to seasonal influenza and pneumococcal vaccines, using single-cell approaches. Read less Read more… I specialize in systems immunology, with a keen interest in deciphering how the immune system reacts to infections and vaccinations. Currently, my research is centered on exploring the age-associated changes in immune responses to vaccines, particularly those for seasonal influenza and pneumococcal diseases, employing single-cell technologies. The overarching goal of my work is to identify blood-based immunological biomarkers capable of distinguishing between individuals who respond to vaccines and those who do not. Download CV Sathyabaarathi Ravichandranon Orcid Hide publications Selected publications…	Aging\|Bioinformatics\|Computational Biology\|Infectious Disease Research	Aging\|Bioinformatics\|Computational Biology\|Infectious Disease Research	The Ucar Lab	Postdoctoral Associate
Aaron Taylor, Ph.D. Postdoctoral Associate Farmington, CT The Lau Lab Cancer Bioinformatics Computational Biology Genetics and Genomics	Taylor Aaron Taylor, Ph.D.	Farmington, CT	Multi-omic profiling of pediatric brain and bone cancer to discover novel prognostic biomarkers and therapeutic targets. Read less Read more… The purpose of my research at the Ching Lau Lab is to examine genomic and epigenomic data from pediatric cancers in order to discover molecular phenotypes, prognostic biomarkers, and candidate therapeutic targets. My work includes method and pipeline development for integration of multi-omic data in the analysis of pediatric brain and bone tumors to develop a better molecular understanding of these often-lethal cancers. Currently, my research focuses on osteosarcoma, ependymoma, and intracranial germ cell tumors. Hide publications Selected publications…	Cancer\|Bioinformatics\|Computational Biology\|Genetics and Genomics	Cancer\|Bioinformatics\|Computational Biology\|Genetics and Genomics	The Lau Lab	Postdoctoral Associate
Ann Wells, Ph.D. Postdoctoral Associate Bar Harbor, ME The Carter Lab Bioinformatics Complex Traits Computational Biology Genetics and Genomics	Wells Ann Wells, Ph.D.	Bar Harbor, ME	Modeling genetic interactions to better understand neurodegenerative diseases. Read less Read more… I am interested in understanding how genetics and environment interact to influence disease status. I will be using and developing computational tools to understand these complex genetic systems, particularly in the context of neurodegenerative diseases. My previous work investigated the role of diet, genetics, and sex on the tissue metabolome. Using metabolomics and various computational and statistical techniques I aimed to understand the complex interactions between diet, genetics, and sex and how each influenced physiological parameters in mice. download cv Hide publications Selected publications…	Bioinformatics\|Complex Traits\|Computational Biology\|Genetics and Genomics	Bioinformatics\|Complex Traits\|Computational Biology\|Genetics and Genomics	The Carter Lab	Postdoctoral Associate

List of researchers by research area

Aging
- Tamar Abel|Postdoctoral Associate
- Hyeon Gu Kang|Postdoctoral Associate
- Sonal Kumar|Predoctoral Associate
- Peter Larson|Predoctoral Associate
- Yi Juin Liew|Postdoctoral Associate
- Lamis Naddaf|Postdoctoral Associate
- Sathyabaarathi Ravichandran|Postdoctoral Associate
Bioinformatics
- Tamar Abel|Postdoctoral Associate
- Yehya Barakat|Predoctoral Associate
- Georgia Doing|Postdoctoral Associate
- Ryan Englander|Predoctoral Associate
- Ardian Ferraj|Computational Scientist
- Alexis Garretson|Predoctoral Associate
- Minghao Gong|Postdoctoral Associate
- Takeshi Iwasaki|Postdoctoral Assocaite
- Hyeon Gu Kang|Postdoctoral Associate
- Kwondo Kim|Postdoctoral Associate
- Lauren Kuffler|Postdoctoral Associate
- Sonal Kumar|Predoctoral Associate
- Peter Larson|Predoctoral Associate
- Yi Juin Liew|Postdoctoral Associate
- Adrian Melo Carrillo|Postdoctoral Associate
- Lamis Naddaf|Postdoctoral Associate
- Francis O'Neill|Postdoctoral Associate
- Hilda Opoku Frempong|Predoctoral Associate
- Ziwei Pan|Predoctoral Associate
- Sathyabaarathi Ravichandran|Postdoctoral Associate
- Aaron Taylor, Ph.D.|Postdoctoral Associate
- Ann Wells|Postdoctoral Associate
Computational Biology
- Tamar Abel|Postdoctoral Associate
- Georgia Doing|Postdoctoral Associate
- Ardian Ferraj|Computational Scientist
- Alexis Garretson|Predoctoral Associate
- Minghao Gong|Postdoctoral Associate
- Takeshi Iwasaki|Postdoctoral Assocaite
- Kwondo Kim|Postdoctoral Associate
- Sonal Kumar|Predoctoral Associate
- Peter Larson|Predoctoral Associate
- Adrian Melo Carrillo|Postdoctoral Associate
- Lamis Naddaf|Postdoctoral Associate
- Francis O'Neill|Postdoctoral Associate
- Hilda Opoku Frempong|Predoctoral Associate
- Ziwei Pan|Predoctoral Associate
- Sathyabaarathi Ravichandran|Postdoctoral Associate
- Aaron Taylor, Ph.D.|Postdoctoral Associate
- Ann Wells|Postdoctoral Associate
Genetics and Genomics
- Tamar Abel|Postdoctoral Associate
- Yehya Barakat|Predoctoral Associate
- Georgia Doing|Postdoctoral Associate
- Ryan Englander|Predoctoral Associate
- Ardian Ferraj|Computational Scientist
- Alexis Garretson|Predoctoral Associate
- Takeshi Iwasaki|Postdoctoral Assocaite
- Kwondo Kim|Postdoctoral Associate
- Sonal Kumar|Predoctoral Associate
- Peter Larson|Predoctoral Associate
- Yi Juin Liew|Postdoctoral Associate
- Adrian Melo Carrillo|Postdoctoral Associate
- Ziwei Pan|Predoctoral Associate
- Aaron Taylor, Ph.D.|Postdoctoral Associate
- Ann Wells|Postdoctoral Associate
Behavioral Disorders
- Yehya Barakat|Predoctoral Associate
Complex Traits
- Yehya Barakat|Predoctoral Associate
- Alexis Garretson|Predoctoral Associate
- Takeshi Iwasaki|Postdoctoral Assocaite
- Lauren Kuffler|Postdoctoral Associate
- Hilda Opoku Frempong|Predoctoral Associate
- Ann Wells|Postdoctoral Associate
Infectious Disease Research
- Georgia Doing|Postdoctoral Associate
- Minghao Gong|Postdoctoral Associate
- Sathyabaarathi Ravichandran|Postdoctoral Associate
Cancer
- Ryan Englander|Predoctoral Associate
- Hyeon Gu Kang|Postdoctoral Associate
- Lamis Naddaf|Postdoctoral Associate
- Francis O'Neill|Postdoctoral Associate
- Ziwei Pan|Predoctoral Associate
- Aaron Taylor, Ph.D.|Postdoctoral Associate
Immune Disorders
- Ryan Englander|Predoctoral Associate
- Minghao Gong|Postdoctoral Associate
Data Science at The Jackson Laboratory
- Lauren Kuffler|Postdoctoral Associate
Neurodegenerative and Neuromuscular Diseases
- Yi Juin Liew|Postdoctoral Associate
Diabetes and Obesity
- Francis O'Neill|Postdoctoral Associate
Developmental Disorders
- Hilda Opoku Frempong|Predoctoral Associate

Data Science: Pre & Postdoctoral Training

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Pre & Postdoc Training & Events

January 13 – 16, 2025

March 10 – 13, 2025

April 14 – 17, 2025

Careers

List of researchers by research area

Aging

Bioinformatics

Computational Biology

Genetics and Genomics

Behavioral Disorders

Complex Traits

Infectious Disease Research

Cancer

Immune Disorders

Data Science at The Jackson Laboratory

Neurodegenerative and Neuromuscular Diseases

Diabetes and Obesity

Developmental Disorders