Tatu Rojalin
Senior Research Scientist Ii @Max Planck Florida Institute for Neuroscience
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WORK HISTORY
Senior Research Scientist Ii @Max Planck Florida Institute for Neuroscience
Jupiter, FL, US
Leading the design of predictive AI/ML frameworks in Python to accelerate the development and optimization of genetically encoded protein-based biosensors for neural activity monitoring.• Integrating deep learning analysis pipelines with high-throughput biophysical and biochemical screening assays to enhance the discovery of neuromodulators, neurotransmitters, and therapeutic compounds modulating receptor-mediated signaling in the central nervous system.
EDUCATION
University of Helsinki
Bachelor of Science (B.Sc.), Pharmacy, Pharmacology and Pharmacotherapy
Tampere University of Technology 1965-2018
145 ECTs, Automation Engineering, M.Sc.(Tech.), Chemistry, Biochemistry, Paper Processing, Automation Engineering
University of Helsinki
Master of Science (M.Sc.), Biopharmaceutics and Pharmacokinetics
University of Helsinki
Doctor of Philosophy (Ph.D.), Pharmaceutical Sciences and Pharmaceutical Biophysics
SKILLS
ABOUT TATU ROJALIN
Contact at: tatu (dot) rojalin (at) icloud (dot) comDriving Innovation at the Intersection of Biophysics, AI/ML, and Drug Discovery. Biophysics | AI/ML | Drug DiscoveryWith 8+ years of post-Ph.D. experience across biotech, pharma, and academia, I specialize in integrating biophysical assays, AI/ML-driven analytics, and computational modeling to accelerate drug discovery and pharmaceutical R&D.🧪 Spectroscopy | Biosensors | Molecular InteractionsMy expertise spans spectroscopy, biosensors, molecular interactions, and machine learning-enhanced screening, enabling data-driven strategies that drive hit identification, lead optimization, and formulation science—from small molecules to nanoformulations and biopharmaceutics. Mechanism-of-Action | Deep Learning | High-Throughput AutomationI develop biofunctional assays that capture complex molecular interactions in physiologically relevant environments, allowing for precise mechanism-of-action (MoA) modeling. By integrating deep learning, high-throughput automation, and predictive modeling, I enhance target discovery, SAR analysis, and therapeutic design, bridging biophysical insights with AI-driven decision-making.🧬 Diagnostics | Biomarker Discovery | Target ValidationDiagnostics is an integral part of drug discovery—biomarker identification and target validation provide critical insights that shape therapeutic development. I leverage biophysics-driven biomarker discovery and target validation to refine rational drug design strategies, ensuring a direct translation of molecular insights into actionable drug discovery workflows. Leadership | Cross-Functional Collaboration | AI-Integrated R & DI have led and mentored multidisciplinary teams across medicinal chemistry, biology, and translational sciences, fostering a collaborative, innovation-driven culture in pharmaceutical R&D. My leadership includes guiding cross-functional projects, influencing lead selection, and mitigating development risks, while mentoring scientists at various career stages to drive technical excellence and AI-integrated experimental approaches in drug discovery. Scientific Contributions:Published in top-tier journals (Nature Nanotechnology, ACS Sensors, ACS Nano, etc.), shaping the future of biophysics, biosensors, and AI-driven drug discovery. Full publication record on Google Scholar: https://scholar.google.com/scholar?hl=en & as_sdt=0%2C10 & q=tatu+rojalin & oq=Currently: Senior Consulting Scientist (Remote, USA)| Affiliated with Univ. of Helsinki
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