Generative design of antibody Fc-variants with synthetic and programmable functional profiles ↗
bioRxiv, 2025
Thomas Bikias
Engineer with an entrepreneurial mindset and industry experience.
I am very passionate about cutting-edge technologies, especially when they are related to Life Sciences and AI. I am experienced in prototyping and giving business value to concepts. I love working on ideas and personal ventures from scratch, trying to approach big challenges and problems with a result-oriented strategy.
Bio
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Updates
Took part in IMD Lausanne's Orchestrating Winning Performance (OWP) — a highly selective executive education program for entrepreneurs and young executives.
June 2026
Defended my PhD thesis, "Optimizing protein language models for sequence-based functional design and fitness prediction".
September 2025
Presented PLMFit at the NeurIPS 2024 workshop "AI for New Drug Modalities".
December 2024
Guest lecture to Swinburne University's Master of Entrepreneurship & Innovation students — on health & medtech business models, network effects, business-model innovation, team building and raising capital.
May 2022
Selected Publications
PLMFit: benchmarking transfer learning with protein language models for protein engineering ↗
Briefings in Bioinformatics, 2025, NeurIPS 2024 Workshop on AI for New Drug Modalities
DeepFoG: An IMU-Based Detection of Freezing of Gait Episodes in Parkinson's Disease Patients via Deep Learning ↗
Frontiers in Robotics & AI, 2021
Projects
Ventures
Companies I've founded, or support as an advisor or investor.
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Media
October 2025
Artificial Intelligence in Dermatology Research and Drug Discovery
June 28, 2019
Greek Students Create Device that Stops Trembling of Parkinson's Patients
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