Rıza Özçelik
Researcher Phd Candidate
Eindhoven, North Brabant, Netherlands
Summary
👤
Senior🎓
Top SchoolRıza Özçelik is a PhD candidate and researcher specializing in AI for science with a focus on computational drug discovery, based in Eindhoven with 10 years of applied research and industry experience. He has improved chemical language model generation by up to 25% and introduced state space models to better capture sequence properties in chemistry, contributing 13 publications and 15 invited talks. His work bridges theory and practice—defining new evaluation guidelines for chemical language models and translating ML research into real-world applications through interdisciplinary collaboration. Earlier roles include competitive research internships at IBM and data science work in finance that delivered measurable operational savings. He also co-led the open-source Turkish NLP toolkit at Boğaziçi University and helped secure a major ~$200K grant for NLP-for-science research. Colleagues describe him as a pragmatic problem-solver who combines deep technical rigor with a knack for clear communication and teaching.
10 years of coding experience
Master of Science - MS, Computer Engineering, 3.94/4.00, Master of Science - MS, Computer Engineering, 3.94/4.00 at Boğaziçi University
English, Turkish, Dutch
Github Skills (20)
java7
data-structures7
cpp7
lstm6
affinity6
protein-sequences6
recurrent6
recurrent-neural-networks5
crowdsourcing4
machine-learning4
prediction4
deep-learning3
user-interface2
python2
neural-network2
Programming languages (4)
Github contributions (5)
rizaozcelik/cmpe250-fall20
Oct 2020 - Jan 2021
The repository to share materials of CMPE250: Data Structures & Algorithms @ Boğaziçi University
Contributions:42 commits, 37 pushes, 1 branch in 2 months
cppjavadata-structuressharedata-structures-algorithms
rizaozcelik/pydebiaseddta
Jul 2022 - Jun 2023
Python library to improve generalizability of the drug-target affinity prediction models via DebiasedDTA
Contributions:23 PRs, 78 pushes, 5 branches in 11 months
python-librarypythonpredictionmachine-learningaffinity
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