Genetics
Showing 1-100 of 106 Results
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Anthony Harris
Postdoctoral Scholar, Genetics
BioAnthony Harris is a postdoctoral fellow in the Department of Genetics at Stanford School of Medicine, where he investigates the organization and function of the genome during cellular development. His research focuses on uncovering fundamental principles of chromosome structure, cellular differentiation, and genome stability. By combining experimental molecular biology, computational modeling, and third generation sequencing technologies, Dr. Harris aims to elucidate the mechanisms that shape chromatin architecture and direct genome maintenance. His interdisciplinary approach integrates cutting-edge quantitative analysis with traditional molecular techniques to advance understanding of the relationship between cellular organization and disease.
Dr. Harris has developed computational tools for genomic data analysis and applies data-driven strategies to study chromatin structure and gene regulation. His work has been published in leading journals, including EMBO Journal, Genetics, and Developmental Cell, with projects spanning meiosis regulation, transcriptional control, and genome integrity. These experiences reflect his commitment to understanding how chromatin organization and gene expression guide cell fate and function.
Dr. Harris earned his Bachelor of Science in Biochemistry from the University of Minnesota and his Ph.D. in Molecular and Cellular Biology from the University of California, Berkeley. He brings expertise in data analysis, computational biology, scientific writing, and collaborative research. His broad training spans biochemistry, cell biology, microbiology, genetics, and computational genomics. -
Feng Jiang
Postdoctoral Scholar, Genetics
BioI am a postdoctoral researcher working on RNA editing.
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Gabriele Kockelkoren
Postdoctoral Scholar, Genetics
BioGabriele has a strong background in both physics and molecular biology and, accordingly, he strives in interdisciplinary environments. After completing a cum laude BSc. and MSc. in Nanobiology at the Technical University of Delft in The Netherlands, Gabriele pursued a PhD at the University of Copenhagen under the supervision of Prof. Dimitrios Stamou. In his PhD, Gabriele studied the nanoscale spatial organization of G protein-coupled receptors (GPCRs) at the plasma membrane of living cells. Importantly, his work reveals heterogeneous spatial patterns of receptor density and activation, that are modulated in a drug-dependent manner. These findings identify GPCR spatial organization as an integral element of their activity and signaling. Currently, Gabriele is a Postdoctoral Fellow in the lab of Prof. Alice Ting developing programmable receptors for molecular sensing and controlling cellular behaviour.
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Naoki Konno
Postdoctoral Scholar, Genetics
BioNaoki has a strong background in evolutionary biology and bioinformatics, and he thrives in interdisciplinary environments bridging computation and developmental biology. After earning his BSc. and MSc. in Systems Biology and Bioinformatics at the University of Tokyo, Naoki pursued a PhD in Evolutionary Biology under the supervision by Prof. Chikara Furusawa. He has developed computational frameworks to reconstruct and predict evolutionary processes, including large-scale phylogenetic inference for both evolution and cell lineage tracing (FRACTAL) and predictive models of microbial genome evolution (Evodictor). His work revealed generalizable rules of genome evolution and was recognized with multiple awards, including the JSPS Ikushi Prize.
Currently, Naoki is a Postdoctoral Scholar in the lab of Prof. Xiaojie Qiu at Stanford University School of Medicine. In his postdoctoral research, he investigates the evolutionary constraints of vertebrate development with a focus on the heart as a model system. By integrating single-cell and spatial transcriptomics with predictive modeling and CRISPR-based perturbations, he seeks to uncover how evolutionary principles shape developmental trajectories and contribute to congenital heart defects. Ultimately, Naoki aims to establish a broad research program in evolution-aware medicine, connecting evolutionary theory with biomedical challenges. -
Wen-yang Lin
Postdoctoral Scholar, Genetics
Current Research and Scholarly InterestsThe broad goal of my research interest is to identify intrinsic and extrinsic mediators of tumor growth and plasticity. My past research experiences will synergize with the expertise of Dr. Monte Winslow’s laboratory to allow the discovery of novel mechanisms of cancer progression. The integration of our molecular measurements with multiple types of ‘omics’ data will ultimately improve the diagnostic precision medicine.
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Lorraine Ling
Postdoctoral Scholar, Genetics
Current Research and Scholarly InterestsMy research focuses on the cell biology and biochemistry underlying the symbiotic relationship between corals and their partners, microscopic algae of the genus Symbiodinium. The algae live in the coral's gut tissue and provide its host products of photosynthesis while the coral provides inorganic carbon, nitrogen, and a safe habitat. I'm investigating the signaling pathways involved in 1) recognizing the correct algae partner 2) transfer of nutrients between the two.
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Quan Maq Ma
Postdoctoral Scholar, Genetics
BioQuan (Maq) Ma is a postdoctoral researcher in the Department of Genetics at the Stanford School of Medicine. His research focuses on developing high-throughput sequencing technologies to study RNA modifications and identify substrates of RNA-binding proteins using biochemical and chemical biology approaches. Maq is also interested in the role of RNA editing in inflammatory chronic diseases.
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Chris Mathy
Postdoctoral Scholar, Genetics
Current Research and Scholarly InterestsML for protein / cell engineering; synthetic mitochondrial genomes.
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Michelle Ozaki
Postdoctoral Scholar, Genetics
Current Research and Scholarly InterestsResearch interests include tumor microenvironment interactions, stromal and tumor cell interactions, and how stromal cells impact metastasis.
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Mahasish Shome
Postdoctoral Scholar, Genetics
BioDr. Mahasish Shome is interested in understanding the underlying mechanism of disease progression. He uses various omics profiling to identify biomarkers relevant to the disease. He studies antibodies, cytokines, proteins and microbiome profile to decipher the connection of disease with markers. Connecting various omics provide a holistic overview of the disease profile and can help in early diagnosis, understanding disease state and drug/vaccine effectiveness.
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Han Sun
Postdoctoral Scholar, Genetics
Biostatistician 2, Pediatrics - EndocrinologyBioHan 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.
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.
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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.
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Elisa Mariel Visher
Postdoctoral Scholar, Genetics
Current Research and Scholarly InterestsElisa Visher is broadly interested in the (co)evolution of life history strategies, niche breadth, diversification, and adaptability. They use mostly experimental evolution methods in microbial systems to test the predictions and assumptions of theoretical literature. Currently, they am especially interested in understanding the genetics of trade-offs in microbes to better understand patterns of diversity in nature and constraints to adaptation.
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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.
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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.
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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
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.
