Tunca Doğan
Professor at PhiTech Bioinformatics
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 TechnologyBSc, Faculty of Engineering, BSc, Faculty of Engineering at Middle East Technical University
English, Turkish
Github Skills (39)
prediction-model10
drug-discovery10
convolutional-neural-networks10
generative-adversarial-network10
virtual-screening10
cheminformatics10
bioinformatics10
command-line-tool10
compound10
chainer9
machine-learning9
deep-learning9
pytorch8
tsne7
representations7
Programming languages (4)
Github contributions (5)
cansyl/CROssBAR
Jul 2020 - Nov 2022
Contributions:149 commits, 97 pushes, 2 comments in 2 years 4 months
cansyl/HPO2GO
Nov 2018 - Mar 2020
Contributions:20 commits, 20 pushes, 1 comment in 1 year 4 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.