New Jersey, USA. His interdisciplinary research spans diverse areas including data mining, robust estimation and network security. He collaborated with Biomarker Discovery Center at Rowan School of Osteopathic Medicine and optimizing and verifying the utility of autoantibody biomarkers for early diagnosis. He has published several papers in reputed journals and conference proceedings. He has been PI/co-PI for several internal and external grants and collaborations, including the ongoing five-year collaboration data mining project with Bristol Myers Squibb pharmaceutical company as well as the NIH grant on Blood-based biomarkers for early-stage Alzheimer’s disease. He won the Best Research Paper Award for his work on robust estimation (GSTF 2017).