Newton Bhabha PhD Placement Fellowship 2014 - 15: Selva Rupa Christinal I. received fellowship jointly from British council and DST-India for six months internship in Manchester Institute of Biotechnology (MIB), University of Manchester, Manchester, UK from June 2015 to December 2015.
Best Poster in Chemical Engineering: Selva Rupa Christinal I. was awarded cash prize and award at CSIR - NCL Science day celebration, February 2014.
Talks and Poster Presentations
Talk by Anu Raghunathan entitled "Metabolic Inquiry and Cellular Engineering: A Systems Approach." at “Accelerating Biology 2018: Digitizing Life” symposium at IISER, Pune, 10 January 2018.
Talk by Deepanwita Banerjee entitled "Knowledge Awareness and Practice of AMR Post Redline Initiative." at a Meeting on Antibiotic Resistance at IISER Pune, 28 October 2017.
Talk by Mayooreshwar Rajankar entitled "Systems and Synthetic biology approach to Poly-lactic acid production in Escherichia coli." at INDO-US workshop on "Cell Factories” at IIT Bombay, 20 March 2016.
Poster Presentation by Deepanwita Banerjee. Integrating metabolomic data as constraints in flux balance models to understand antibiotic resistance. 11th Annual International Conference, Metabolomics 2015, CA, USA.
Poster Presentation by Selva Rupa Christinal I. Capturing metabolic reprogramming using mass spectrometry – CORE analysis towards understanding tumor heterogeneity and cancer drug resistance. The Gaskell Birthday Symposium – A Celebration of Mass Spectrometry at Manchester Institute of Biotechnology, UK, December 2015.
Talk by Anu Raghunathan entitled "Towards a Genetic Basis for Antibiotic Resistance in Chromobacterium violaceum." at AIChe 2013 annual meeting,CA, USA.
Grants Received
Gates Foundation: Grand Challenges Canada: Low cost synthesis of Tuberculosis drugs using synthetic biology in collaboration with Dr. Radhakrishnan Mahadevan, University of Toronto
DBT Project: Developing a scalable platform for a biopolymer Polylactic Acid using systems metabolic engineering approach
DST Project: A systems biology approach to rational strain design for amino acid tryptophan production.