Tunca Doğan
Director Of Hacettepe University Institute Of Informatics
Ankara, Ankara, Turkey
Summary
👤
Senior🎓
Top SchoolTunca Doğan is a computational biology professor and AI-driven drug discovery researcher with over eight years of academic and industry experience spanning Hacettepe University, EMBL-EBI, and Cambridge. He develops machine learning, deep learning and generative-AI methods for protein function prediction, heterogeneous data integration, and in-silico drug design, adapting techniques from NLP and computer vision for biomedical problems. His work combines large-scale open-data harmonization with targeted analysis of well-annotated datasets to generate mechanistic insights, and he consistently publishes code and datasets to open repositories to ensure reproducibility. As Head of Department and Chief AI Officer at a bioinformatics startup, he bridges academic rigor with translational impact, leveraging graph theory and data mining to fill gaps in biological knowledge. An underappreciated strength is his track record of adapting cross-domain architectures into domain-specific tools that scale from databases like UniProt to practical drug-discovery pipelines.
8 years of coding experience
10 years of employment as a software developer
PhD Bioengineering (Bioinformatics, Computational Biology), PhD Bioengineering (Bioinformatics, Computational Biology) at Izmir Institute of TechnologyMSc Faculty of Engineering, MSc Faculty of Engineering at Orta Doğu Teknik Üniversitesi / Middle East Technical University
English, Turkish
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (30)
prediction-model10
representation-learning10
drug-discovery10
convolutional-neural-networks10
generative-adversarial-network10
virtual-screening10
cheminformatics10
molecular-representation10
bioinformatics10
command-line-tool10
pytorch9
machine-learning9
knowledge-graph9
deep-learning9
language-model8
Programming languages (6)
Github contributions (5)
cansyl/HPO2GO
Nov 2018 - Mar 2020
Contributions:20 commits, 20 pushes, 1 comment in 1 year 4 months
cansyl/CROssBAR
Jul 2020 - Nov 2022
Comprehensive Resource of Biomedical Relations with Deep Learning Applications and Knowledge Graph Representations
Contributions:149 commits, 97 pushes, 2 comments in 2 years 4 months
deep-learningknowledge-graph
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