I solve real world problems with machine learning.
Currently
Masters in Computer Science from UIUC
Specialization in applied machine learning, ML-ops, and distributed ML training.
Expected grad May, 2023.
National Center for Supercomputing Applications (NCSA)
Research Assistant, Oct 21-Present.
Funded by the NSF & IBM Research.
I implemented distributed ML training on a GPU supercomputer (25 Nvidia DGX nodes, 200 A100 GPUs) to scale up the research of domain experts in biology and physics.
Previously
Internship at IBM Research, May – Aug ’22.
AI Foundation Model training, dataflow optimization. Based in historic Yorktown, NY.
Sarcos Robotics – Advanced exoskeletons
Machine Learning R&D Intern
Built machine learning vision segmentation models running on edge computers (Nvidia Jetson on-robot) including sensor fusion with depth sensing cameras to understand 3D scenes in pixel-per-pixel segmentation, at 100+ FPS, for highly accurate robot planning.
Previous cofounder of Bioloop Sleep
Jason Jin has built a great team since I left!
3x NASA Software intern for Autonomous Systems
Focused on OpenCV, 3D point clouds (RGB-D), and parallel computing.
View my resume here.
Tools for Thought
🧠 Neural networks ignoring training data: the astonishing power of Attention
Learning means forming a compact representation of a concept and forgetting enables greater information density.
📚 Designing Better Books
What is the future of books? How can we make learning cheaper and easier by design? Like with a mnemonic medium? How can I build on the best examples on the internet today?
🛠 My best tools as a high-performance knowledge worker
Pianists at every level drill scales so they can think in higher abstractions while they play. But no knowledge worker I know deliberately practices their craft. I’m hoping to bridge this gap, to craft a nice workspace, to leave more mental space free to invent new ideas.
Come look at the “tech stack” behind my creative process.
AI Research
🥇 How We Won Argonne Labs’ AI-Hackathon
Novel AI for Material Science Problems
🧠 What AI algorithms win in the real world?
A Theoretical Analysis of the Algorithms that Win Kaggle Competitions
😏 Unsupervised Facial Recognition: an Extension to InfoGAN Generative Adversarial Networks
📰 Fake News Detection innovation using “Stance” (e.g. agree/disagree text corpus classification)
⌚ Using Wearables for Sleep Improvement: A Platform for Randomized Self-Experiments [Preprint]
The Good Thinking blog
💻 Making Windows Excellent (become a 10x computer user)
💡 Most enlightening places on the internet (for CS nerds)
🍎 Best Apps for iOS (from a life-long android fanboy)
🎓 Academic Publishing is a joke; here’s a better way to communicate science. Draft, please add your comments 🙂
My work
NASA In-Space Robotics Internships
Won HackMIT 2017 & 2018!
Climbing First Ascent using Custom UAVs
See the photo & video here!
NASA Media Highlights
Follow my twitter
Follow my twitter 🐣 for machine learning news & memes.
Personal Life
Kastan Day 