Winning team member of the 10th Integrated Mathematical Oncology Workshop on Cancer Communities, at Moffitt Cancer Center, Florida. Team prize money (USD 50K), November 2022.
Podium presentation award at the NCI Junior Investigator meeting, August 2022.
Kaggle Machine Learning Research Spotlight, July 2022.
1 of 10 prize-winners chosen from 200 scientific abstracts at the Moffitt Scientific Symposium, May 2022.
AACR-Doreen J. Putrah Cancer Research Foundation Scholar-in-Training Award for the AACR Annual Meeting, April 2022.
Scholar-in-Training Award supported by the American Association for Cancer Research for the AACR Special Conference on Evolutionary Dynamics in Carcinogenesis and Response to Therapy, March 2022.
Nominated for the Global Awards 2021 WomenTech Network for Rising Star in STEM of the Year category, October 2021.
Selected to participate in the Women in Cancer Immunotherapy Network (WIN) Leadership Institute by the Society for Immunotherapy of Cancer (SITC), July 2021.
Runner-up team member of the Physicell Hackathon, July 2021.
Python Software Foundation (PSF) software award for Sparcle, May 2021.
Hardware grant awarded by NVIDIA Applied Research Accelerator Program, April 2021.
Winning team member of the Second Annual Bio-Data Club Hackathon at Moffitt Cancer Center, Florida 2020.
Runner-up team member of the 9th Integrated Mathematical Oncology Workshop on Evolutionary Tumor Board, at Moffitt Cancer Center, Florida. Team prize money (USD 50K), November 2022.
Machine Learning for Healthcare (ML4H) @NeurIPS Excellent Reviewer Recognition (Top 5% rated reviewers). 2019.
International Conference on Machine Learning (ICML) Diversity & Inclusion Travel Grant 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
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).