Michal Lukasik
Research Scientist at Google DeepMind
New York City Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolMichal Lukasik is a Research Scientist at Google DeepMind with 13 years of experience applying machine learning to product-scale problems, specializing in LLM inference and post-training, loss function design, information retrieval, and reinforcement learning. He combines a strong academic foundation (PhD in Computer Science, MSc and BSc) with practical impact—his prior Google Research internship produced a neural recommender that improved relevance by 30% over a competitive baseline. Michal’s work spans theory and application, from submodular optimization for social visibility to stochastic models of temporal text spread, reflecting a knack for marrying principled methods with measurable product gains. Based in the New York City area, he is known for improving model numeracy and reasoning through targeted post-training strategies and novel loss formulations that translate directly into better downstream performance.
13 years of coding experience
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at The University of SheffieldMaster of Science (MSc) Computer Science, Master of Science (MSc) Computer Science at University of Warsaw
Github Skills (13)
multilabel-classification5
agent-based-modeling4
modeling4
python4
agent3
machine-learning3
classification3
lime3
pytorch2
image-classification2
deep-learning2
cpp1
neural-network1
Programming languages (1)
Github contributions (5)
mlukasik/mlukasik.github.io
Dec 2016 - Feb 2025
Contributions:80 pushes, 1 branch in 8 years 3 months
mlukasik/seqhawkes
Nov 2016 - Mar 2017
Contributions:5 commits, 4 pushes, 1 branch in 4 months
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