Yuan Tian
Applied Scientist, Generative AI
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolYuan Tian is an applied scientist with 11 years of interdisciplinary experience at the intersection of generative AI, machine learning, and computational biology, now building generative AI solutions at AWS. They have a strong track record translating biomedical research into production-ready ML systems, from transformer-based antibody specificity models and a penalized Cox model identifying predictive cancer biomarkers to LLM-driven RAG chatbots serving 200+ researchers. Yuan blends deep domain expertise in single-cell and immunology data with practical engineering—creating scalable training pipelines with Ray, PEFT techniques like LoRA, and vector-search applications such as ReceptorGPT backed by ESM-2 embeddings. Their work consistently balances rigorous evaluation (published biomedical results and robust AUCs) with user-focused tools that accelerate scientific discovery. Based in Seattle, they pair a PhD in Microbiology & Immunology with a recent MS in Computer Science, reflecting a rare combination of life-sciences insight and modern ML engineering. An additional strength is their hands-on experience deploying LLM and multimodal workflows that bridge proprietary structured data and open-ended biological queries.
11 years of coding experience
12 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Georgia Institute of TechnologyDoctor of Philosophy (Ph.D.), Microbiology and Immunology, Doctor of Philosophy (Ph.D.), Microbiology and Immunology at University of Alabama at BirminghamBachelor’s Degree, Bioengineering and Biomedical Engineering, Bachelor’s Degree, Bioengineering and Biomedical Engineering at Tianjin University
Github Skills (88)
topological-data-analysis10
deep-learning10
tabular10
fastai10
integrate10
pytorch10
single-cell-genomics10
image-classification10
cran10
unix9
get-started9
dimensionality-reduction9
variational-autoencoder9
single-cell-analysis9
nlp9
Programming languages (5)
Github contributions (5)
naity/DeepUFC2
Nov 2018 - Sep 2020
Contributions:9 commits, 8 pushes, 1 branch in 1 year 10 months
naity/image_tabular
Jun 2020 - Jun 2020
Integrate image and tabular data for deep learning
Contributions:12 commits, 11 pushes, 1 branch in 1 day
pytorchdeep-learningtabular-datamachine-learningfastai
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