![Niroshana Anandasabapathy](https://gradschool.weill.cornell.edu/sites/default/files/default_images/abdel-wahab_omar_210813_003.jpg)
Bio
![](https://gradschool.weill.cornell.edu/sites/default/files/styles/panopoly_image_original/public/fei-wang.jpg?itok=0oZN6A0l)
My research is mainly data mining algorithms development and their applications in various health informatics problems. Some highlights:
- Patient Similarity Learning.
- NSF EAGER Award from SCH on developing algorithms
- NMRC Subaward on patient similarity and concussion
- AMIA TBI 2014 paper on personalized treatment recommendation nominated for Marco Romani Award
- SDM 2011 paper on integrating multiple patient similarities selected as "Best of SDM"
- Deep Learning in Health
- Winner of PPMI Data Challenge on Subtyping Parkinson's disease 2016
- ICDM 2016 paper on systematic study of the tradeoff between accuracy and runtime of deep learning models won Best Paper Runner-Up