Harini Narayanan

AREAS OF INTEREST: Systems biology and Biotechnology, Machine learning, Modeling

CURRICULUM VITAE

• 03/2018 – Current : ETH Zurich, Switzerland
  Doctoral student, Morbidelli – group, Institute for Chemical and Bioengineering
• 07/2017 – 12/2017 : ETHZ Zurich, Switzerland
  Research assistant, Morbidelli – group, Institute for Chemical and Bioengineering
• Topic: Local models: Automated definition of process specific clusters
  03/2017 – 06/2017 : ETHZ Zurich, Switzerland
• Master Thesis, Morbidelli – group, Institute for Chemical and Bioengineering
  Topic: Hybrid models for mammalian cell cultures
• 01/2017 – 02/2017 : ETHZ Zurich, Switzerland
  Research project in the group of Prof. Gunawan, Institute for Chemical and Bioengineering
  Topic: Analyzing metabolic causes of ageing through GEMs and DE genes
• 09/2017 – 02/2018 : ETHZ Zurich, Switzerland
  Masters in Chemical and Bioengineering
• 01/2015 – 08/2015: Technische Universitat, Munchen, Germany
  Off campus research activity in the group of Prof. Andreas Kremling
  Topic: Reduced kinetic modeling of recombinant bacterial culture
• 05/2015 – 08/2015 : Institut national de la recherche scientifique, Montréal, Canada
  Research internship in the group of Prof. Dongling Ma
  Topic: Synthesis and surface modification of nanoparticles for biomedical application
• 07/2012 – 05/2016 : National Institute of Technology, Tiruchirapalli, India
  Bachelors in Chemical Engineering                                                             

PROJECT

The doctoral work focuses on integrating process knowledge with knowledge extractable from the available data. Popularly called Grey – Box or the Hybrid model. The application of such modeling technique range across field including chemical and bioprocesses. The aim is to develop novel hybrid modeling techniques, integrating machine learning algorithms with physical laws. We aim to enable process optimization and control of different chemical and bioprocesses.

CONFERENCE

• S. Ravi, H. Narayanan and R. Gunawan. Metabolic network analysis for understanding the biology of ageing, In the Drug Discovery Network Symposium, Zurich, Switzerland, 10 February 2017 (Poster).
• S. Ravi, M. Garcia-Albornoz, H. Narayanan and R. Gunawan. A bioinformatic analysis for understanding the biology of ageing, In the Genotype Tissue Expression (GTEx) Project Community Meeting. Enhancing the Usage of Human Genomics for the benefit of all, Barcelona, Spain. 21 April 2017 (Talk).