School of Medicine


Showing 81-100 of 105 Results

  • Mahasish Shome

    Mahasish Shome

    Postdoctoral Scholar, Genetics

    BioMy research interest revolves around understanding the underlying mechanism of disease progression. I utilize multi-omics profiling to identify biomarkers relevant to the disease. I study autoantibodies, metabolomics and proteomics to decipher the connection of disease with biomarkers. For studying these, I use protein microarrays and mass spectrometry. Connecting various omics provide a holistic overview of the disease profile and can help in early diagnosis, understanding disease state and drug/vaccine effectiveness.

  • Han Sun

    Han Sun

    Postdoctoral Scholar, Genetics
    Biostatistician 2, Pediatrics - Endocrinology

    BioHan had been a postdoc with Dr. Steinmetz at the genetics department for five years, working on both cancers and heart diseases, trying to understand the mechanisms linking from variants to disease phenotypes. This led to a few very interesting findings of aberrant splicing regulation, such as splicing-mediated readthrough stabilization (SRS), one more mechanism for oncogene activation in multiple types of cancers, and tissue-specific splicing of a mitochondrial inner membrane protein, suggesting a molecular connection between deficiency in energy-supplying and dilated cardiomyopathy.

    After being a senior computational biologist with Dr. Gloyn, who has been dedicated to the research of type 2 diabetes for decades, Han switched to the field of this multifactorial metabolic disease. It did take some courage to make such a switch at his post-postdoc stage, however, Han has a consistent interest in studying PG&E, which is not pacific gas and electric nearby, but the interaction between phenotype, genotype, and environment. With years of hands-on experience in statistical modeling and the analysis of next-generation sequencing and mass spectrometry data, in addition to a good understanding of disease genetics, cancer biology, and systems biology, Han is highly confident that he will enjoy the adventure and contribute to our understanding of diabetes.

  • Artem A. Trotsyuk, Ph.D.

    Artem A. Trotsyuk, Ph.D.

    Postdoctoral Scholar, Genetics

    BioDr. Artem A. Trotsyuk is an AI Fellow in the Department of Genetics at Stanford University and an AI Special Projects Fellow at the Hoover Institution. He earned his PhD in Bioengineering and a Master’s in Computer Science with an AI specialization at Stanford, under the supervision of Dr. Geoffrey Gurtner in the Department of Surgery. He was co-advised by Dr. Zhenan Bao (Chemical Engineering), Dr. Russ Altman (Bioengineering and Medicine), and Dr. Michael Snyder (Genetics). His doctoral research focused on developing a smart bandage that integrates a closed-loop AI processing system for wound sensing and therapeutic delivery. His current work centers on evaluating AI tools in biomedicine, as well as special projects related to security, intent capture, and persona modeling.

  • Alun Vaughan Jackson

    Alun Vaughan Jackson

    Postdoctoral Scholar, Genetics

    BioCollaborative postdoctoral fellow between the groups of Prof. Michael Bassik (Stanford) and Dr Andreas Puschnik (CZ Biohub) interested in host-virus interactions with the innate immune system.

  • Shannon White

    Shannon White

    Postdoctoral Scholar, Genetics

    BioHi, I'm Shannon White. I began my postdoctoral fellowship in Michael Snyder's lab in the fall of 2020. I received my PhD from Georgetown University in Tumor Biology in Chunling Yi's lab. My graduate worked explore the signaling and metabolic vulnerabilities of NF2-mutant tumors following YAP/TAZ depletion. My postdoctoral work is exploring the epigenetic hallmarks that contribute to colon cancer progression and drug resistance. I am developing colon organoids derived from pre-cancerous polyp tissue collected from Familial Adenomatous Polyposis patients as a model system to investigate epigenetic and signaling responses to chemoprevention treatments.

  • Yue Wu

    Yue Wu

    Postdoctoral Scholar, Genetics

    Current Research and Scholarly InterestsI built computational methods to integrate and model biological time series, including metabolic dynamics, longitudinal multi-omics data, and micro-sampling. I reduce dimensions, built clusters, and search for causal links.

  • Lei Xiong

    Lei Xiong

    Postdoctoral Scholar, Genetics

    Current Research and Scholarly InterestsMy research focuses on develop deep learning methods to
    1. Infer macrophage-tumor cells interaction using spatial multi-omics
    2. Decipher the cis-regulatory code using a large language models
    3. Predict enhancer-promoter interaction
    4. Multi-omics integration
    5. Build foundational model for single-cell genomics

  • Weize Xu

    Weize Xu

    Postdoctoral Scholar, Genetics

    BioDr. Weize Xu is a postdoctoral researcher in Dr. Xiaojie Qiu's laboratory, where he focuses on advancing computational biology and genomics research. He earned his Ph.D. in Dr. Gang Cao's lab, where he made significant contributions to the development of computational methods and pipelines for spatial transcriptomics (MiP-Seq) and single-cell Hi-C (sciDLO Hi-C). His work during this time centered on enhancing data analysis frameworks, providing more precise insights into complex biological systems.

    Dr. Xu is also an expert in the development of bioimaging processing softwares. During his Ph.D., he developed the U-FISH method, a deep learning-based approach for detecting signal points in FISH images. This innovative project involved curating a high-quality dataset from diverse sources, ensuring robust performance across various FISH data types. The resulting model demonstrated outstanding generalizability and included a user-friendly Web and LLM interface, making it accessible to researchers worldwide.

    In addition to his Ph.D. research, Dr. Xu further honed his skills at SciLifeLab, where he worked under the mentorship of Dr. Wei Ouyang. There, he focused on web programming and developing key components for the Bioimage.IO deep learning platform, gaining valuable experience in creating innovative tools for computational biology.

    With a solid foundation in computational biology, deep learning, and bioinformatics, Dr. Xu is passionate about driving cutting-edge research and contributing new perspectives to his field. He brings a unique combination of technical expertise and a collaborative mindset to his role in Dr. Xiaojie Qiu’s lab.

    Website: https://nanguage.github.io/

  • Jielin Yan

    Jielin Yan

    Postdoctoral Scholar, Genetics

    Current Research and Scholarly InterestsI'm interested in understanding how the human genome orchestrates cell fate decisions in development and disease by using high-throughput perturbation and screening methods.