Postdoctoral Fellows


Gireesh Kumar Bogu

Postdoctoral Research Fellow, Genetics

Computational Biology, Ph.D.
Universitat Pompeu Fabra

gbogu17@stanford.edu

Research Interest – applying machine learning (especially deep learning) to solve problems that can help understand human health better.
 More , working on image data from subjects with Type-2 diabetes, and wearable data from subjects with COVID-19. I am also interested in NLP problems such as interpreting large-scale surveys of disease studies (Ex: Diabetes, COVID-19).

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Qing Liu

Instructor, Cardiovascular Institute

qingliu@stanford.edu

Research Interest – Mechanisms underlying toxicants/drugs-induced transcriptional regulatory networks and metabolism at early-life and adult stages.


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.


Kevin Van Bortle

Postdoctoral Research Fellow, Genetics

Biochemistry, Cell, & Dev. Biology, Ph.D.
Emory University

kvbortle@stanford.edu

Research interest: to gain a better understanding of tissue-specific RNA polymerase III (RNAPIII) transcription. 

  More Kevin is currently integrating multiple genomic strategies to better query RNAPIII activity in multiple human cell types and the consequences of these differences. He recently mapped the genome-wide occupancies of several RNAPIII subunits and identified significant changes in RNAPIII binding and transcription across several classes of short, highly structured RNA genes during cell differentiation. His combinatorial atlas of RNAPIII subunit localization identifies expansive DNA-occupancy of the RNA polymerase III complex across canonical and non-canonical genes. Finally, in collaboration with other members of the Snyder lab, he has begun to identify specific RNAPIII-transcribed RNAs enriched in extracellular vesicles. His work is supported by an NIH pathway to independence award from the National Human Genome Research Institute (NHGRI)

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Songjie Chen

Postdoctoral Research Fellow, Genetics

Chemistry, Ph.D.
Universitat Bern

songjie@stanford.edu

Research interests: Proteomics, metabolomics & multi-omics integration in personalized health & rare diseases


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.

 


Peng Gao

Postdoctoral Research Fellow, Genetics

Biogeochemistry, Ph.D.
University of Florida

gaop@stanford.edu

 

Research interest: Exposome, Environmental chemistry, Analytical chemistry, Environmental health sciences.

Bio: Dr. Peng Gao is an analytical chemist who was trained in both environmental and biological sciences.  More He obtained his B.S. in Chemistry from China Agricultural University in 2013. After that, he went to Case Western Reserve University and earned his M.S. in Chemistry in 2015. After switching his research interest to biogeochemistry, he joined the Soil and Water Sciences Department at the University of Florida to pursue his Ph.D. degree and graduated in August 2019. His research has focused on multidisciplinary areas in environmental chemistry, analytical chemistry, and environmental health sciences. He is currently working on human exposome projects at Stanford University. He has published nearly 30 peer-reviewed articles in several top journals in environmental science. He has peer-reviewed nearly 100 articles for various journals and currently serving as an editorial board member of the Chemosphere.

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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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Joshua Gruber

Instructor, Medicine-Oncology

Clinical Fellow, Residency
Stanford University

jjgruber@stanford.edu


Research interests include the molecular biology of breast cancer initiation, the intersection of tumor immunology with cancer growth pathways and the development of molecular tools to interrogate neoplastic tissues.

Bio: Dr. Joshua Gruber is  an Instructor of Medicine in the division of Medical Oncology at Stanford University Medical Center. He received his Bachelors of Arts, Summa Cum Laude, in biochemistry and physics from the University of Pennsylvania in 2001. He then graduated from the Medical Scientist Training Program at the University of Pennsylvania where he performed doctoral studies in cancer biology and biochemistry. He completed internship and residency in Internal Medicine at Stanford, then was a Clinical Fellowship in Medical Oncology and also a Postdoctoral Fellow in Genetics at Stanford, working in the laboratory of Michael Snyder on integrative genomics of hereditary breast cancer. He is currently has a clinical focus on treating patients with metastatic breast cancer and triple-negative breast cancer and conducts clinical trials on novel therapeutics for these diseases. His laboratory research interests include the molecular biology of breast cancer initiation, the intersection of tumor immunology with cancer growth pathways and the development of molecular tools to interrogate neoplastic tissues.

 

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Casey Hanson

Postdoctoral Research Fellow, Genetics


Aaron Marks Horning

Postdoctoral Research Fellow, Genetics

Doctor of Philosophy,
University Texas Heath Science Center

ahorning@stanford.edu


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


Ryan Kellogg

Postdoctoral Research Fellow, Genetics

Doctor of Philosophy,
Eidgenossische Technische Hochschule (ETH Zurich)

rkellogg@stanford.edu

Research interest:  integrating wearable sensor data with multiomic profiling using biological microsamples. PhD: ETH Zurich, Systems Biology. Photo attached.


Samuel Lancaster

Postdoctoral Research Fellow, Genetics

Doctor of Philosophy
University of Washington

slancast@stanford.edu

Research interest: currently multiomic data analysis with a focus on dietary fiber supplementation.


Brittany Lee

Postdoctoral Research Fellow, Genetics

Doctor of Philosophy,
University of Florida

leeba@stanford.edu

Research Interests: Metabolomics, Microbiome.  Brittany is interested in the interactions and communication between host and microbiome through metabolites and resulting effects on host health. 

 


Hayan Lee

Postdoctoral Research Fellow, Genetics

Computer Science, Ph.D.
State University at Stony Brook, New York

hayan.lee@stanford.edu

Research interest: developing methods (tools/software) using statistical machine learning and deep learning using clinical data and/or long reads produced by 3rd generation sequencing technology such as PacBio, Moleculo, Oxford Nanopore, etc. This includes de novo genome assembly, single cell, cancer data analysis, time series data analysis and population structure to analyze big data, infer critical factors, predict the future and discover biological importance.

Before Hayan moved  to Stanford, she served as a Simons postdoctoral fellow at Joint Genome Institute (JGI).   Her Ph.D. dissertation was “Algorithms and Applications in Genome Assembly Using Long Read Sequencing Technology”, advised by Prof. Michael Schatz, Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory (CSHL). Hayan received her Master’s degree from Carnegie Mellon University. The master's degree thesis was published at 70th IEEE Vehicular Technology Conference. Her undergraduate degree with Cum Laude was received at Seoul National University in Korea and she worked for 4 years at AhnLab, Inc.,  programming Windows kernel-level file system filter driver for V3 anti-virus program.

 

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Liang Liang

Postdoctoral Reaserch Fellow, Genetics

Doctor of Philosophy
Stowers Institute for Medical Research

liangtro@stanford.edu

Research interests: Women’s Health, Maternal and Fetal Health, Pregnancy, Preterm birth, Multi-omics, Longitudinal profiling, Metabolomics, Biomarker discovery

Petra Mamic

Postdoctoral Medical Fellow, Genetics 
Fellow in 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

 



David Marciano

Postdoctoral Research Fellow, Genetics

Chemical Biology, Ph.D.
Scripps Research Institute Kellogg School

dmarcian@stanford.edu

Research interest: is focused on extracellular vesicle biology and the development of vascular therapies. 


Ahmed Metwally

Postdoctoral Research Fellow, Genetics

Bioinformatics, Ph.D.
University of Illinois at Chicago

ametwall@stanford.edu

Research Interests: Bioinformatics, Time Series, Deep Learning, Network Science, Algorithms, Precision Health/Medicine, Systems Biology.

Bio: Ahmed is a biomedical engineer and  computer scientist by training. His current research at Snyder lab is focused on developing novel machine learning methods for longitudinal multimodal biomedical data fusion (omics and wearable sensors data) to early detect diseases, specifically type II diabetes (T2D) and infectious disease, and personalize their treatments.


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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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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Jeniffer Quijada

Postdoctoral Research Fellow, Genetics

Chemistry & Chemical Biology, Ph.D. Northeastern University

jquijada@stanford.edu


Aaron Robinson

Postdoctoral Research Fellow, Genetics

Biomedical Science and Translational Medicine, Cedars Sinai Medical Center

aaron.robinson@stanford.edu

Research Interests: Multi-omics integration of human disease, Method development and data analysis of mass spectrometry-based quantitative proteomics, Systems Biology

 Aaron  More was trained in mass spectrometry-based quantitative proteomics in the Van Eyk Laboratory at Cedars Sinai Medical Center.  In the Snyder Lab, he is analyzing multi-omic data with a focus on proteomics to better understand and subtype complex human disease to help guide further research. Eventually, this information will help physicians treat patients with targeted drugs and improve patient outcomes.   

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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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Ming-Shian Tsai

Postdoctoral Research Fellow, Genetics

Doctor of Philosophy
National University of Taiwan

mstsaisu@stanford.edu

Research interests:  microbiome, drug regulation, and human diseases.


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.

 
 

Si Wu

Postdoctoral Research Fellow, Genetics

Doctor of Science
University of Potsdam 

siwu@stanford.edu

Research interests: Omics (transcriptomics, metabolomics, lipidomics) and multi-omics integration, network analysis, machine learning, and quantitative genetics.


Sai Zhang

Postdoctoral Research Fellow, Genetics

Computer Science and Technology, Ph.D. Tsinghua University 

szhang0@stanford.edu

 

Research interests:  Machine Learning, Computational Genomics, Statistical Genetics and Computational Medicine

 


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.