Priyanka Banerjee
Berlin
Summary
Highly skilled Research Group Leader with extensive expertise in computational toxicology, cheminformatics, and computer-aided drug discovery. Demonstrated success in developing and applying computational models to predict chemical toxicity, design safer drugs, and analyze complex biological data. Experienced in leading interdisciplinary teams to pioneer research bridging chemistry, biology, and data science. Known for innovative problem-solving approaches, securing competitive funding, and publishing high-impact research. Committed to advancing the field through collaborative efforts, mentoring young scientists, and actively engaging with academic, industry, and regulatory stakeholders.
Overview
8
8
years of professional experience
Work History
Principle Investigator/Group Leader/Lecturer
Charite-University, Institute of Physiology
01.2020 - Current
Projects:
- Artificial Intelligence in decision making in medicine - using RWE data and ADRs data to design better treatment and medical counselling.
- Machine Learning models for prediction of chemical taste (VirtualTaste- for academic community and SimLeapTasteAI- for industry, received third-party funding.
- Food Allergy Prediction at Clinical Research Unit -Machine Learning models for the prediction of food allergens.
Postdoc/Lecturer
Charite University of Medicine
01.2017 - 12.2019
Projects:
- Computational Prediction platform for small molecules toxicity-ProTox Project
- Development of methods for compound synthesis (Patent filed).
- Natural product-based drug discovery.
Education
Habilitation - Medical Sciences
Charite-University of Medicine
Berlin, Germany03.2025
PhD -
Humboldt University-Berlin
Berlin, Germany06.2016
MS -
University of Bonn
Bonn, Germany02.2013
BS -
Bangalore University
Bangalore, India07.2009
Skills
- Statistical modeling
- Algorithm development
- Machine Learning Integration
- Project Planning
- Organizational Skills
- Team building
- Academic Publication
- Lecture development
- Research and analysis
- Faculty Collaboration
Currentscientificinterest
Patient-centric drug discovery, chemical-based toxicity assessment, development and applications of theoretical methods integrated with experimental observations in understanding the risk-benefit profile of chemicals and molecular targets.
Languages
English
German
Researchexpertise
Computational Drug Discovery, Structural Bioinformatics, Machine Learning, Data Science, Cheminformatics, Drug metabolism, Computational toxicology, Real World Evidence Data, Adverse Effects Reporting analysis and Personalized Medicine
Funding
- Project SimLeap (Funded by BMBF)- AI in taste prediction.
- DFG visiting researcher funding.
- DFG-KFO 339 -Clinical Research Unit 2019-2026
Network
LinkedIn, ResearchGate, Google Scholar, Personal Website
Publications
https://www.priyankabanerjee.de/about-me/publications
Additional Information
Honors and Awards
Award Nomination 2016
Prize Shortlist for Lush Prize (PhD work)
http://lushprize.org/2017-prize-shortlist/
PhD Fellowship 2013
German Research Foundation Scholarship
Visiting Research Scholar Grant 2014
La Jolla Institute for Allergy & Immunology, Division of Vaccine Discovery
USA -DFG scholarship
Timeline
Principle Investigator/Group Leader/Lecturer
Charite-University, Institute of Physiology
01.2020 - Current
Postdoc/Lecturer
Charite University of Medicine
01.2017 - 12.2019
Habilitation - Medical Sciences
Charite-University of Medicine
PhD -
Humboldt University-Berlin
MS -
University of Bonn
BS -
Bangalore University
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