Awards and Recognitions

  • International Conference on Machine Learning (ICML) Diversity & Inclusion Travel Grant 2019.

  • Inaugural Depth First Learning Jane Street Fellow, 2019.

  • One of the 15 Fly-in attendees for the Women in Analytics Conference 2019.

  • Featured at the New York Academy of Sciences (NYAS) 'I imagine' campaign: Continuing to Imagine the Next 100 Years of Science and Technology, 2017.

  • Bicentennial Ambassador for New York Academy of Sciences (NYAS) 2017.

  • Runner up for the American Express Machine Learning challenge at the 9th Machine Learning Symposium, NY Academy of Sciences, NYC, 2015.

  • Best Student Paper Award: Asian Conference of Machine Learning (ACML 2012). Sandhya Prabhakaran, David Adametz, Karin J. Metzner, Alexander Boehm and Volker Roth. Recovering networks from distance data
    view pdf

  • Best Paper Award Runner-Up: International Conference on Machine Learning (ICML 2010). Julia E. Vogt, Sandhya Prabhakaran, Thomas J. Fuchs and Volker Roth. The Translation-invariant Wishart-Dirichlet Process for Clustering Distance Data view pdf

  • Travel Grant for Workshop in Computational Biology, NIPS 2010.

  • 1st place for Best Poster: Informatics Jamboree (2008), University of Edinburgh. Multi-scale, Reactive Motion Planning with Deformable Linear Objects view pdf

  • Recipient of the Scottish International Scholarship Programme (SISP) (2007-08) under the Fresh Talent Initiative. The programme offered fully-funded scholarships for 22 Commonwealth students each year that covered Master programmes in UK.

  • Co-authored an IP disclosure on Data Transfer from JCL to COBOL with Padmaraj Meethal, IBM Software Laboratories. Awarded Publish status on January 9th 2008. (Disclosure Number: IPCOM000167543D).