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

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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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.

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

Research interests: Precision Health, Wearable Devices, Bioinformatics, Machine Learning, Multi-omics Profiling, Mass Spectrometry, Aging

Bio: Alireza obtained his PhD of Chemical Engineering  More from University of Southern California where he studied senescence mechanism in aging and cancer. His research is at the intersection of wearable devices, mass spectrometry, statistics, and data modeling. At Snyder lab he is working on glucose monitoring, sleep tracking, multi-omics profiling and use of machine learning tools to model health and predict deviation from healthy states in people.

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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.

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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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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Research interests include aging, deep learning, metabolomics, healthspan and lifespan extension.

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

 Aaron 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.   

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

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.

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

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

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