Suneel Sarswat is an adjunct faculty at NISM. His current research area is applications of theoretical computer science in finance and regulations. He teaches advanced programming, machine learning, deep learning, computational finance, etc. He has more than 14 years of teaching experience. Before joining academics, he has worked for Bank of America as a research analyst for more than two years. He has conducted various workshops for working professionals in the area of compuatational finance and machine learning. He has trained officers from RBI, SEBI, Exchanges, Banks, and other financial institutions. He has presented his work in international conferences in theoretical computer science. Besides adjunct faculty at NISM, he is also a part-time consultant at Decimal Point Analytics.

He has completed his master’s degree in applied statistics from the Indian Institute of Technology, Mumbai in 2005. He also holds a master’s degree from Tata Institute of Fundamental Research (TIFR), Mumbai in theoretical computer science. Currently, he is completing his Ph.D. from TIFR in the area of applications of logic.