Tawaun Lucas
Senior Computational Biologist @Chan Zuckerberg Initiative
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WORK HISTORY
Senior Computational Biologist @Chan Zuckerberg Initiative
Redwood City, CA, US
As a Senior Computational Biologist, I work at the intersection of biology research and AI/ML model development to build scientific products and scalable computational workflows for biomedical research. I address biological questions through applying models and developing computational workflows, working closely with teams of scientists, engineers, and product staff. My responsibilities include partnering with cross-functional teams, working with community researchers and external partners, making recommendations to product teams, and designing benchmarking and evaluation studies. I focus on ensuring our products are scientifically valid and usable.
EDUCATION
Stanford University School of Medicine
Doctor of Philosophy (Ph.D.), Neurosciences
California State University, Northridge
Bachelors of Arts, Psychology
ABOUT TAWAUN LUCAS
I am a Senior Computational Biologist at the Chan Zuckerberg Biohub, where I bridge the gap between AI/ML model development and high-impact biomedical research. My work is centered on building scalable computational workflows and scientific products necessary to unlock the next generation of therapeutic targets.Throughout my career at Genentech and Stanford University, I have specialized in the end-to-end discovery process, from raw multimodal data to prioritized biological insights. I have a proven track record of:Driving Target Discovery: Leading the supports for immunology target identification, specifically for Inflammatory Bowel Disease (IBD), by integrating single-cell and spatial transcriptomics.Accelerating Biomarker Development: Designing computational frameworks that integrate molecular, cellular, and clinical data to enhance decision-making across the R&D pipeline.Optimizing Workflows: Developing workstreams that reduced dataset analysis time, significantly increasing the speed of target prioritization.Leveraging AI/ML for Biology: Utilizing foundation models and advanced statistical modeling to explore complex systems, including neurodegeneration and neuroimmune communication.I thrive in cross-functional environments, partnering with engineers, product teams, and external community researchers to ensure that every tool we build is scientifically rigorous and actionable for drug discovery.Core Expertise: Target & Biomarker Discovery | AI/ML Workflow Development | Single-cell & Spatial Transcriptomics | Multimodal Data Integration | Neuro-immunology |[Python, R, Unix, AWS].
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