Postdoctoral Fellows


Nasim Bararpour

Postdoctoral Research Fellow, Genetics

University of Lausanne

Department of Biology and Medicine, Toxicology Unit of Forensic Science (UFT) and Hospital University of Legal Medicine (CURML) Geneva-Lausanne, Ph.D.

nbararpo@stanford.edu

Research Interests: Metabolomics, Computational analysis and Software development, Multi-Omics and Integrative analysis. 


Andrew Brooks

Postdoctoral Reseach Fellow, Genetics

Human Genetics and Microbiomics,Ph.D. Vanderbilt University

brooksa@stanford.edu

Research interests: focuses on the human gut microbiome,  involved in multiple multiomic projects investigating how physiological systems through the human body interact across different lifestyles and health states. Research involving wet and dry lab aspects of multiomics analyses, and two coronavirus research projects including handling of positive SARS-COV-2 samples.


Varuna Chander

Postdoctoral Research Fellow, Genetics

Ph.D, Human Genome Sequencing Center,
Baylor College of Medicine

varunach@stanford.edu

Research Interests: Dr. Varuna Chander is a postdoctoral fellow in the Snyder lab investigating the genomic basis of human diseases, both rare and common using multi-omics and machine learning approaches.
  More Dr. Chander received her PhD in Genetics and Genomics from the Human Genome Sequencing Center at Baylor College of Medicine under the mentorship of Dr. Richard Gibbs. As a NLM fellow of Biomedical Informatics and Data Science, Dr. Chander led projects investigating the molecular causes of rare diseases and also the relationship between somatic mosaicism in blood and cardiovascular disease risk. Alongside, she also led collaborative projects employing the role of structural variation in genetic diseases. Prior to doctoral studies, she gained experience in early-stage NGS research and product development in companies spanning big pharma to start-ups in Boston and San Diego.

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Faye Chleilat

Postdoctoral Research Fellow, Genetics

Ph.D.,Nutrition, Genetics and Metabolism,
University of Calgary 

faye.chleilat@stanford.edu

Research Interests: Nutrition, Microbiome, Epigenome, Multi-omics, Fertility, Precision Medicine


Graham Erwin

Postdoctoral Research Fellow, Genetics

Doctor of Philosophy
University of Wisconsin Madison

gerwin@stanford.edu

 

Research interest: Molecular, chemical, and genome biologist elucidating the functional role of repetitive DNA sequences. 

Molecular, chemical, and genome biologist elucidating the functional role of repetitive DNA sequences. This work will guide the design of a new class of therapeutics and diagnostics for human disease.

 


Ariel Bacaner Ganz

Postdoctoral Research Fellow, Genetics

Doctor of Philosophy
Cornell University

abganz@stanford.edu

Research interests: Dr. Ariel Ganz is a postdoctoral fellow in the Snyder Lab studying effective strategies for mental health and thriving. Her current research focus is on the biology of depression and depression recovery, as well identifying effective strategies to improve mental and physical well-being. More  Dr. Ganz received her PhD in Molecular Nutrition with a focus on Precision Health, nutrigenetics, and vitamin metabolism from Cornell University under the mentorship of Dr. Marie Caudill and Dr. Patrick Stover. 

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Shubham Gupta

Postdoctoral Research Fellow, Genetics

Ph.D., University of Toronto

shubham@stanford.edu

 

Research interest:  Cancer immunotherapy.


Tuhin Guha

Postdoctoral Research Fellow, Genetics

Ph.D., M.S., Microbiology, University of Manitoba, Canada 

Research Interests: Dr. Tuhin Guha is a postdoctoral research fellow in the Snyder lab, where he is using highly multiplexed imaging modalities, such as CODEX and Nanostring to understand the precancer/tumor microenvironment from Familial Adenomatous Polyposis (FAP)  More patient samples. His doctoral work involved biochemical characterization of DNA cutting enzymes (Meganuclease) and designing ‘on/off’ switch for temporal regulation of ‘molecular scissors’ for efficient genome editing. Previous postdoctoral training involved modified CRISPR-Cas system for increasing the efficiency of gene editing in mammalian cells/Xenopus embryos and alternative gene therapy approach to treat various muscle disorders using the diseased mouse models.

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Hirotaka Ieki

Postdoctoral Research Fellow, Genetics

  • Ph.D., The University of Tokyo, Medicine
    M.D., The University of Tokyo, Medicine

Research Interests: Dr. Hirotaka Ieki is a physician-scientist specializing in cardiovascular disease. He has completed an internal medicine residency and is a board-certified cardiologist with 10 years of clinical experience in Japan. His research focuses on genomics in cardiovascular disease and machine learning.
  More Dr. Ieki joined Snyder lab in 2023. His project is realizing precision medicine in heart disease by combining genome, omics, and wearable big data using statistical and machine learning techniques.

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Brian Johnson

Postdoctoral Research Fellow, Genetics

Doctor of Philosophy
University of Pennsylvania

bsjohn@stanford.edu


Maya Kasowski

Clinical Instructor, Pathology
Postdoctoral Research Fellow, Pathology

Residency and Pathology Fellowship
Stanford University

kasowski@stanford.edu


Linda (Yu-Ling) Lan

Postdoctoral Research Fellow, Genetics

Ph.D., Immunology
University of Chicago

lindayl@stanford.edu

 

Research interests: Linda  is interested in how immune functions work as a system in response to vaccination/infection. Her current study explores how cardiorespiratory fitness affects immune cell populations, T cell and antibody repertoire diversity, and humoral immune responses post-influenza vaccination.


Petra Mamic

Postdoctoral Medical Fellow, Genetics 

Harvard Medical School, M.D. 

Internal Medicine Residency
Stanford University

Fellowship in Cardiovascular Medicine at Stanford University

mamic@stanford.edu

Research interest:  Gut microbiome in cardiovascular disease.


Tim MacKenzie

Postdoctoral Medical Fellow, Genetics 
Fellow in Genetics

Chemistry, Ph.D.
Stanford University

tmackenz@stanford.edu

 


Caleb Mayer

Postdoctoral Research Fellow, Genetics

Ph.D., Applied and Interdisciplinary Mathematics
University of Michigan

mayercl@stanford.edu

 


Pardis Miri

Postdoctoral Research Fellow, Genetics

Ph.D., Computer Science
parism@stanford.edu

 

Research interests: Pardis Miri, PhD, is focused on building technology to facilitate mental well being..
  More With a PhD in computer science and years of training in area of affective science (under the supervision of Professor James J. Gross), Pardis has assembled a unique team (see http://wehab.stanford.edu) to not only run clinical studies to evaluate their efficacy in changing emotion, mood, and stress but also build product-ready technology. Pardis is the principal investigator of a large multi-disciplinary project (FAR) to design, build, and evaluate a wearable system tailored to the needs of children with emotion dysregulation, especially children diagnosed with autism spectrum disorder. FAR aims to empower them to manage their problem behaviors in a more adaptive way. The FAR project involves collaborations between the departments of Computer Science, Psychology, Mechanical Engineering, and the School of Medicine at Stanford University. Pardis is being advised by Professors Micheal Snyder in the Genetics Department at Stanford University School of Medicine, Professor Keith Marzullo at the University of Maryland iSchool, whose research is on distributed systems, and by Professor James Gross, whose research underlies much of what we now know about emotion regulation. She is also working with Professor Antonio Hardan of the Stanford School of Medicine, whose research is on children with Autism Spectrum Disorder.

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Tejaswini Mishra

Postdoctoral Research Fellow, Genetics Project Lead for iPOP, hPOP, and the COVID-19 Wearables Study

Cell and Developmental Biology, Ph.D.

The Pennsylvania State University

tejaswini.mishra@stanford.edu

Research Interests: Bioinformatics, Precision Health, Precision Medicine, Longitudinal Data, Multi-Omics, Wearables Sensors, Space Biology, Systems Biology.

Bio: Tejaswini’s research interests lie at the intersection of biomedical research,  More precision medicine, and bioinformatics.  She previously led the Snyder lab arm of the NASA Twins Study, and currently leads the iPOP, hPOP and COVID-19 Wearables studies within the lab. Her work revolves around using longitudinal biomedical data (omics and wearables) to understand physiological variation across individuals, to establish personal healthy molecular profiles, to study individual metabolic dysregulation patterns, and to identify changes associated with lifestyle, illness, and space travel (NASA Twins Study), with the ultimate goal of predicting diseases early and using personalized medicine to manage health.

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Mihir Mongia

Postdoctoral Scholar, Genetics

mmongia@stanford.edu

 

Research Interests: Interests: computational mass spectrometry, algorithms for huge data sets in computational biology, multiomics in relation to maternal and cardiovascular health, multiomics in relation to drug response. 

Before this Mihir received a PhD in Computer Science at Carnegie Mellon University, a masters of applied math at Stanford, and a bachelors of electrical engineering at Rice University.   More During his PhD he developed the state of the art computational routines for processing mass spectrometry data in the field of metabalomics. In his postdoc he hopes to use his data science skills to extract biologically meaningful insight that could translate to the real world.

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Mahdi Moqri

Postdoctoral Research Fellow, Genetics

Ph.D., University of Florida

moqri@stanford.edu

 

Research interests:focuses on multi-omics and epigenomics of aging and rejuvenation at Sebastiano Lab (Institute for Stem Cell Biology and Regenerative Medicine) and Snyder Lab (Department of Genetics).

Bio: Mahdi Moqri, PhD is an NLM Postdoctoral Fellow in Biomedical Informatics as well as an academic graduate student at Stanford. He served as an Assistant Professor of Information Systems at Iowa State University, developing large-scale machine learning models for predicting patients’ outcomes, before joining Stanford.


Michael Nshanian

Postdoctoral Research Fellow, Genetics

Ph.D., Biochemistry and Molecular Biology UCLA

nshanian@stanford.edu

Research interest: Histone epigenetics, chromatin biology, integrated multi-omics. Specifically, understanding the regulatory effects of short-chain acyl-lysine histone modifications and their effect on chromatin structure and gene expression.


Daniel Panyard

Postdoctoral Research Fellow, Genetics

Ph.D., Epidemiology, University of Wisconsin-Madison

dpanyard@stanford.edu

Research interests: Molecular epidemiology, complex disease, genomics, metabolomics, proteomics, statistics, bioinformatics


Heyjun Park

Postdoctoral Research Fellow, Genetics

Nutritional Sciences, Ph.D, Cornell University (Minors: Genomics, Epidemiology)

Clinical Dietetic Internship, University of California, San Francisco Medical Center, RD

heyjunp@stanford.edu

  • Research interests: 
    - Impact of diet and sleep on onset and progression of type 2 diabetes using wearable technologies
    - Chrono-nutrition profiles of individuals at risk for type 2 diabetes 
    - Identification of data-driven dietary patterns of people and their effects on multi-omics profiles. 
  • Heyjun  More believes that lifestyle factors such as diet and sleep are strong predictors of onset and progression of chronic diseases along with genetic predisposition. Therefore, her primary research goals are to discover novel molecular markers of chronic diseases by analyzing diet and sleep patterns of the individuals at risk or with chronic diseases; and to develop personalized recommendations to optimize health.  Heyjun is a biomedical scientist with her PhD in nutritional sciences at Cornell University; she has expertise in nutrition, physiology, molecular biology, genetics, and epidemiology. She is also a registered dietitian with clinical dietetic training at the UCSF Medical Center before joining the Snyder lab. 

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Ekanath Srihari Rangan

Postdoctoral Research Fellow, Genetics

M.B.B.S., Amrita Institute of Medical Sciences and Research

ekanath@stanford.edu

Research interests: Wearable medical systems for non-invasive and pervasive health monitoring in cardiovascular and critical care contexts; Correlation of genomic aspects of disease with phenotypic data from electronic health records; Informatics and machine learning for precise detection and early warning of infectious diseases; Preemptive protocols for managing disease  More severity trajectories; And IoT based Telemedicine. Ekanath's current research involves large scale study of resting heart rate, clinical symptoms and daily activities as they relate to COVID-19, as well as their time series big data analysis for risk stratification.

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Morteza Roodgar

Postdoctoral Research Fellow, Genetics

Doctor of Veterinary Medicine, University of Shiraz
Comparative Pathology, Ph.D., Unversity of California Davis School of Veterinary Medicine

mroodgar@stanford.edu

Research interests: applications of genomics in comparative medicine and animal models (primates).


Sophia Miryam S. Rose

Instructor, Genetics

Fellowship, Stanford School of Medicine/Palo Alto VA Health Care System, Spinal Cord Injury 

Intern and Resident, University of Wisconsin Hospital & Clinics, General Surgery

Population Health Sciences, Ph.DP
University of Wisconsin - Madison

smrose11@stanford.edu

Research interests: Understanding the biological effects of  the exposome using multiomics profiling.  The areas of the exposome I am most interested in include lifetime stress and adversity and environmental chemical exposures


Xiaotao Shen

Postdoctoral Research Fellow, Genetics

Doctor of Philosophy,
Chinese Academy Of Sciences

shenxt@stanford.edu

Research interests: Metabolomics, Multi-omics, Biostatistics, Systems Biology, and Bioinformatics, and their application in healthcare.

Xiaotao's research focuses  on the development of bioinformatic algorithms and tools for large-scale metabolomics as well as its application in discovering new biomarkers related to human diseases. He has developed several algorithms and tools.  The first algorithm was MetNormalizer, which is a machine learning-based algorithm for data normalization and integration of large-scale metabolomics. Then he developed a web-based tool, MetFlow, aiming to provide a comprehensive pipeline for data cleaning and statistical analysis of large-scale metabolomics. The most important algorithm he has developed is MetDNA, which is a novel algorithm for metabolite identification and dysregulated pathway analysis in untargeted metabolomics.

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Morgan Smith

Postdoctoral Scholar, Genetics

Ph.D., Kinesiology
Auburn University

morgs@stanford.edu

Research Interests: Female athlete research, exercise physiology, human performance, multi-omics, interventions


Meng Wang

Basic Life Research Scientist, Genetics

Statistics, Ph.D. Basic Life Research Scientist, Genetics

Statistics, Ph.D.
University of California, San Diego

mengw1@stanford.edu

Research interests: statistical method development and analysis, machine learning, -omics data integration, system biology.

 
 

Yue Wu

Postdoctoral Research Fellow, Genetics
 
Institute of Bioinormatics, Ph.D. 
University of Georgia
 

Research interest:  Metabolomics, time series, dynamics, machine learning. Yue extracts knowledge from biological time series. He connects biological states from omics data and infers functional variations related to biochemistry, disease, and clinical application. 





Allison Xinyue Zhang

Postdoctoral Research Fellow, Genetics

Doctor of Philosophy,
University of Kansas

zhangxy@stanford.edu

Research interest: Exposome and how environmental exposures affect your health.


Bingqing Zhao

Postdoctoral Research Fellow, Genetics

Doctor of Science,
EMBL, Ruprecht Karl Universitat Heidelberg

bqzhao@stanford.edu

Research interests: transcriptional regulation in health and in disease.


Xin Zhou

Postdoctoral Research Fellow, Genetics

Genetics and Genome Science, Ph.D.
University of Connecticut Health Center & The Jackson Laboratory for Genomic Medicine

xzhou7@stanford.edu

Research interests: employing new methods to better understand the moving interactions between the human immune system and the environmental factors such as the microbiome.