Hristo Papazov
PhD At The Theory Of Machine Learning Lab at École polytechnique fédérale de Lausanne
Lausanne, Vaud, Switzerland
Summary
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Rockstar🎓
Top SchoolHristo Papazov is a PhD researcher at EPFL's Theory of Machine Learning Lab studying the implicit bias of neural network optimization under gradient descent with momentum. He brings three years of research experience across top institutions—Princeton, MIT and EPFL—combining rigorous mathematical training (BA Princeton, PhD work at MIT/EPFL) with applied ML work in industry. His prior projects include novel lower bounds in online Convex Body Chasing, sample-complexity results for acyclicity testing, and practical ML engineering for medical knowledge graphs and BioBERT experiments on national supercomputing resources. Comfortable moving between deep theoretical proofs and production-oriented systems, he has published in mathematical physics and NLP venues and has a track record of turning abstract theory into empirically tested algorithms. Based in Lausanne, he blends elite academic pedigree with hands-on experience in large-scale computation and semantic data engineering.
3 years of coding experience
2 years of employment as a software developer
Bachelor of Arts - BA, Mathematics and Computer Science, 3.95/4.00 (magna cum laude), Bachelor of Arts - BA, Mathematics and Computer Science, 3.95/4.00 (magna cum laude) at Princeton UniversitySemester Abroad, Mathematics, 4.00/4.00, Semester Abroad, Mathematics, 4.00/4.00 at University of OxfordDoctor of Philosophy - PhD, Mathematics, 5.00/5.00, Doctor of Philosophy - PhD, Mathematics, 5.00/5.00 at Massachusetts Institute of TechnologyMath High School "Acad. Kiril Popov"Doctor of Philosophy - PhD, Theory of Machine Learning, 6.00/6.00, Doctor of Philosophy - PhD, Theory of Machine Learning, 6.00/6.00 at EPFL (École polytechnique fédérale de Lausanne)US & Bulgarian High School Diploma, Summa Cum Laude, Math & Physics Concentration, 5.95/6.00 (suma cum laude), US & Bulgarian High School Diploma, Summa Cum Laude, Math & Physics Concentration, 5.95/6.00 (suma cum laude) at American College of Sofia
Bulgarian, English, German, Spanish
Github Skills (2)
machine-learning7
data-science6
Programming languages (1)
Github contributions (3)
epfml/ML_course
Oct 2022 - Dec 2024
EPFL Machine Learning Course, Fall 2024
Contributions:8 pushes in 2 years 2 months
falldata-sciencemachine-learning-coursemachine-learningepfl
fanagor/hangman
Jul 2023 - Jul 2023
Contributions:1 branch in 1 day
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