Jack Burgess
Neural Computation Doctoral Candidate
Berlin, Germany
Summary
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Senior🎓
Top SchoolJack Burgess is a neural computation PhD and software engineer with eight years of interdisciplinary research and engineering experience, now based in Berlin. His work spans experimental cognitive neuroscience, statistical data analysis, and practical web automation—bridging human behavioral experiments at Carnegie Mellon with production-facing JavaScript tooling for financial workflows. He has taught machine learning concepts as a TA, coded statistical tests for large clinical datasets, and completed advanced deep learning and RL coursework at Mila, reflecting both theoretical depth and hands-on implementation skills. Known for moving between lab benches and product code, he brings a pragmatic research mindset to applied ML and data-driven engineering challenges.
8 years of coding experience
3 years of employment as a software developer
High School Diploma, High School Diploma at Catalina Foothills High SchoolBachelor of Arts - BA, ENGINEERING, 3.71, Bachelor of Arts - BA, ENGINEERING, 3.71 at Dartmouth CollegeStudy Abroad Program, Computer Science, Study Abroad Program, Computer Science at AIT-BudapestDeep Learning + Reinforcement Learning (DLRL) Summer School, machine learning, Deep Learning + Reinforcement Learning (DLRL) Summer School, machine learning at Mila - Quebec Artificial Intelligence InstituteDoctor of Philosophy - PhD, Neural Computation, Doctor of Philosophy - PhD, Neural Computation at Carnegie Mellon University
English, Spanish, Japanese, German
Github Skills (16)
ntfs6
simulate6
intelligent6
minecraft5
scroll5
simulation4
artificial-intelligence2
malmo2
neuroscience1
statistics1
python1
machine-learning1
computational-neuroscience1
science1
psychology1
Programming languages (4)
Github contributions (5)
burgessjack/resume-materials
Oct 2020 - Jan 2023
Contributions:2 pushes, 1 branch in 2 years 3 months
CoAxLab/imaginagents
Jul 2022 - Nov 2022
Contributions:15 pushes, 1 branch in 3 months
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