Stanford University
Showing 351-360 of 384 Results
-
Anne Villeneuve
Berthold and Belle N. Guggenhime Professor and Professor of Developmental Biology and of Genetics
Current Research and Scholarly InterestsMechanisms underlying homologous chromosome pairing, DNA recombination and chromosome remodeling during meiosis, using the nematode Caenorhabditis elegans as an experimental system. High-resolution 3-D imaging of dynamic reorganization of chromosome architecture. Role of protease inhibitors in regulating sperm activation.
-
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.
-
Douglas Vollrath
Professor of Genetics, Emeritus
Current Research and Scholarly InterestsThe Vollrath lab works to uncover molecular mechanisms relevant to the health and pathology of the outer retina. We study metabolic and other cellular interactions between the glial-like retinal pigment epithelium (RPE) and adjacent photoreceptors, with the goals of understanding the pathogenesis of photoreceptor degenerative diseases such as age-related macular degeneration and retinitis pigmentosa, and developing therapies.
-
Tao Wang (王韬)
Director of Precision Diabetes Care, Genetics
Current Role at StanfordPrincipal Investigator, AI for Precision Diabetes Management
Project Manager & Scientific Co-lead, PsychENCODE Project
Project Initiator & Clinical Co-lead, Long COVID Clinical RCT with TCM
Project Initiator & Manager, AI & Wearables Toolkit for Biomedical Sciences
ENCODE and PsychENCODE Project Data Manager
Research Scientist, US Veteran Affairs Hospital
SCGPM HPC System Administrator -
Tauska Lan
Affiliate, Genetics - BASE
BioI'm an ML engineer specializing in LLM post-training and agentic systems—with a particular focus on domains where rigor matters: health, biology, and scientific discovery.
Long-horizon agents — Designed and shipped multi-step orchestration systems (Pantheon-CLI, OmicVerse Agent) that outperform general SWE-agent baselines on biomedical tasks. Built cross-provider query routing and sandboxed execution to keep complex workflows robust over extended interactions. My agents don't just respond—they plan, recover from failure, and complete real research pipelines end-to-end.
Agentic science — Created infrastructure where AI doesn't assist research—it conducts it. Vectorized 30 years of NHANES data; parallelized Bayesian kernel machine regression on Kubernetes; built TCGA/GEO pipelines that bridge wet-lab and dry-lab workflows. Co-developed OmicVerse, an open-source platform powering reproducible multi-omics and single-cell analyses across hundreds of studies.
Experience engineering — Scaled rubric-based reward datasets to 1M+ pairs; trained summary and chain-of-thought reward models via RLAIF/RLHF; delivered measurable benchmark lifts in health AI. I care about the full loop: data curation → reward shaping → careful ablation → verifiable outcome—no cherry-picked demos—just metrics that survive scrutiny.
Currently pursuing advanced agentic studies at Karolinska Institutet and Stanford!
Open-source: OmicVerse · Pantheon-CLI · RAG Web UI · AstrBot
If you're working on post-training at scale, scientific agents, or high-integrity data pipelines—I'm always interested in systems that move from promising results to verifiable outcomes. Let's talk.
