Sudhakaran Prabakaran taught an 'Introduction to Machine Learning course' in the University of Sierra Leone funded through the Cambridge-Alborada award.
Sudhakaran Prabakaran was invited to give an ‘inspirational’ speech to encourage school children at the Camborne Science Festival. 70 students from age 4-14 years participated in the event and demonstrated a scientific project either in a team or individually.
Sudhakaran Prabakaran spoke on developing machine learning approaches to prioritize variants in the noncoding regions at the Red Bull pub, Cambridge.
Sudhakaran Prabakaran was interviewed on ‘Me, Myself and Data’ as part of the Love Data Week by Cambridge Research Data Management and Office of Scholarly Communication.
Sudhakaran Prabakaran spoke at the Theory of Living Matter Pub tutorial in Phantom Arms Pub, Cambridge, on Machine Learning for ‘Genomical data'.
Former Science Signaling Editor, Nancy R. Gough, Ph.D., provided insights as an editor of a multi-disciplinary journal. She discussed the importance of audience in communicating science effectively.
Sudhakaran Prabakaran and his team of students at the New York Academy of Science developed diagnostic technologies to monitor micronutrient intake in developing countries
Ruchi Chauhan and Sudhakaran Prabakaran were part of the organizing committee for Pint of Science (Cambridge).
The Royal Society interviewed Sudhakaran Prabakaran for their ‘Changing Expectation’ study. It was about people who have had multiple careers to encourage people to think about the shifting landscape of research.
Sudhakaran Prabakaran was invited to judge a poster competition organized by the New England Science Symposium, Harvard Medical School, Boston, 2016.
Sudhakaran Prabakaran was invited as a panelist for panel discussion on ‘How to write a scientific abstract’ in Biomedical Science Careers Student Conference for African-American and Hispanic students in Boston 2016. He was also invited to advise eight minority students on career in Science and Engineering.