Jialin Gao
Research Analyst at Weill Cornell Medicine
New York, New York, United States
Summary
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Senior🎓
Top SchoolJialin Gao is a biostatistician and data analyst with 8 years of experience turning large clinical datasets into actionable insights, currently driving research and software-ready methods at Weill Cornell Medicine. She specializes in survival and longitudinal modeling, end-to-end pipelines (Python, R, SQL, SAS), and has built preprocessing workflows for 100k+ records that improved model performance by 60% and supported multiple AASLD submissions including an upcoming oral presentation. Beyond applied research, she authors methodological work—publishing an R package submitted to Bioconductor and a first-author manuscript on ensemble differential analysis under review at Nature Computer Science. Comfortable collaborating with clinicians and industry partners, she blends rigorous statistical design with pragmatic engineering to accelerate translational studies. An uncommon strength is mentoring junior researchers while producing reproducible tools and tutorials that lower the barrier for clinical teams to adopt advanced analytics.
8 years of coding experience
Bachelor's degree, Business/Managerial Economics and Psychology, Bachelor's degree, Business/Managerial Economics and Psychology at University of California, DavisMaster's degree, Biostatistics& Data Science, Master's degree, Biostatistics& Data Science at Weill Cornell Medicine
Github Skills (18)
translation8
speech-synthesis7
forecasting7
computer-vision7
drug-discovery7
nlp7
speech-recognition6
deep-learning6
pytorch6
paddlepaddle5
tensorflow5
reinforcement-learning5
machine-learning5
mxnet5
artificial-intelligence4
Programming languages (2)
Github contributions (5)
ljl199141/Transmission-Distribution-Bilevel-Optimization
Aug 2018 - Oct 2018
Contributions:45 commits, 27 pushes, 2 branches in 2 months
kgcornell/Airbnb-Price-and-Occupancy-Rate-Prediction-in-Seattle
Oct 2017 - Jan 2018
Contributions:20 PRs, 33 pushes, 22 branches in 3 months
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