Ji Bak
Staff Data Scientist
Berkeley, California, United States
Summary
👤
Senior🎓
Top SchoolJi Bak is a Staff Data Scientist and computational biophysicist with over eight years of hands-on experience turning complex biological datasets—neural electrophysiology, animal behavior, genomics and biochemical assays—into actionable insights. Trained as a (bio)physicist with a PhD from Princeton, Ji blends statistical machine learning, Bayesian inference and optimal experimental design to lead end-to-end analysis projects and serve as computational lead in multidisciplinary teams. At UCSF and Berkeley Lab Ji built reproducible pipelines, standardized FAIR data workflows (NWB), and drove cross-lab collaborations that bridged wet-lab and computational practice. His methods have been widely adopted in the community—one behavioral analysis algorithm from his postdoc has 50+ citations and active GitHub forks—reflecting both scientific impact and practical tooling. An effective storyteller and mentor, he communicates complex models clearly to technical and non-technical stakeholders, while applying physics-informed intuition to biotech and healthcare data problems. Currently at DELFI Diagnostics, he focuses on translating high-dimensional modeling and rigorous experimental design into measurable clinical and product value.
8 years of coding experience
10 years of employment as a software developer
Bachelor of Science - BS, Physics, Bachelor of Science - BS, Physics at Korea Advanced Institute of Science and TechnologyHigh School Diploma, High School Diploma at Korea Science Academy of KAISTDoctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at Princeton University
Github Skills (17)
electrophysiology9
data-migration9
nwb9
python8
neuroscience8
parse8
datajoint8
reproducible-research7
datasets7
data-analysis4
conda2
preprocessing2
robotics2
time-series1
mutual-information1
Programming languages (4)
Github contributions (5)
multi-cd/multi-cd-matlab
Nov 2018 - Jan 2021
Contributions:1 release, 31 pushes, 2 branches in 2 years 2 months
BouchardLab/neuropacks
Sep 2021 - Nov 2022
A set of classes to parse various neuroscience datasets.
Contributions:3 reviews, 81 commits, 19 PRs in 1 year 1 month
datasetsneurosciencepythonparse
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