Dr. Aniket Magarkar

Dr. Aniket Magarkar

Post-doc – Computational Chemistry

PhD , Centre for Drug Research, University of Helsinki (Finland)
Master in Bioinformatics, University of Pune (India)


Development of a computational tool based on the scientific and technological advances in recent years around molecular dynamics simulation technology, Markov-State-Models, and adaptive learning to elucidate the potential of these technologies to support fragment-based drug discovery approach on highly attractive targets that are precluded by current technological limitations.


Dr. Daniel Seeliger

Dr. Daniel Seeliger

Research Scientist, Computational Chemistry

PhD in Computational Biophysics, Max-Planck-Institute for Biophysical Chemistry (Germany)
Diploma in Chemistry, University of Ulm

Research interests:

  • Application and development of simulation-based technologies for drug discovery
  • Computer-aided design of proteins and small molecules
  • Development of machine learning applications for small-molecule design