Post-doc

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)

Project

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.

Supervisor

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