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Mohit Tawarmalani

Mohit Tawarmalani

Professor of Management
Senior Associate Dean of Academic Affairs
Allison & Nancy Schleicher Chair of Management
Quantitative Methods


Ph.D. Industrial Engineering, University of Illinois
M.S., Industrial Engineering, University of Illinois
B.S., Mechanical Engineering, Indian Institute of Technology


Mohit Tawarmalani is the Acting Executive Associate Dean of Faculty and Allison and Nancy Schleicher Chair of Management at the Mitchell E. Daniels, Jr. School of Business at Purdue University and the Academic Director for the Krenicki Center for Business Analytics & Machine Learning. He received his Ph.D. and Masters from the University of Illinois at Urbana-Champaign. Prior to that, he received his Bachelors from Indian Institute of Technology, Delhi.

Mohit has worked in the MIS area of Tata Engineering and Locomotive Company (1993-1994) and as a software engineer in geometric modeling at ComputerVision (1995). He teaches courses in business analytics and optimization.

Mohit Tawarmalani's research interests are at the interface of computer science, optimization, and operations research with applications in business and engineering. Mohit has co-authored a book on global optimization algorithms and has co-authored BARON, a software package widely used for global optimization. Mohit has interest in applications of optimization in harnessing solar energy, building better distillation trains, network systems design, and in understanding economics of business decisions. For his research, Mohit has been awarded the INFORMS Computing Society Prize in 2004, the Best Paper Award from the Workshop on Information Technology and Systems in 2005, and the Beale-Orchard-Hays Prize from the Mathematical Programming Society in 2006. He is also the 2003 Jay N. Ross Young Faculty Scholar and the 2006 Faculty Fellow.

Mohit's teaching interests are in Business Analytics and Optimization. For his teaching, he received the Salgo-Noren Foundation award for Excellence in Teaching in 2022 and 2023. He led the team that won the INFORMS UPS George D. Smith Prize for Business Analytics and Information Management Programs at Mitchell E. Jr., Daniels School of Business.

Mohit serves as an Associate Editor for the Journal of Global Optimization and Mathematical Programming Computation. He currently resides in West Lafayette with his wife and their daughter.

  • Optimization Software

    Professor Mohit Tawarmalani makes software that make the world more efficient and effective. Called B.A.R.O.N, the software helps organizations optimize complex processes. Working in optimization allows Prof. Tawarmalani to work in many disciplines - economics, manufacturing, energy and more.

  • Daniels School’s new leadership team in place

    Since being unveiled as Purdue University’s next big move one year ago, the Mitchell E. Daniels, Jr. School of Business is gaining momentum, evidenced by a $50 million gift from the Lilly Endowment for the school’s new building, a $50 million gift from the Dean and Barbara White Foundation, and recognition as a game-changer in shaping the future of business education.

    Full story: Daniels School’s new leadership team in place

  • David Hummels
    Purdue trustees approve Krannert School named and distinguished faculty positions
    The Purdue University Board of Trustees on Friday (June 14) ratified seven named and distinguished faculty positions, including three within the Krannert School of Management. David Hummels was named a Distinguished Professor of Economics, Mohit Tawarmalani was named the Allison and Nancy Schleicher Chair in Management, and Annabelle Feng was named the John and Donna Krenicki Chair in Operations Management. Trustees also issued resolutions of appreciation for friends of the university whose names will be added to campus facilities.

Phone: (765) 496-2620
Office: RAWL 4095

Quick links

Personal website

Area(s) of Expertise

Artificial Intelligence, Business Analytics, Data Analytics, Data Mining, Decision Sciences, Digital Economy, Energy, Food, Game Theory, Logistics, Machine Learning, Networks, Pricing, Quantitative Analysis, Risk Management, Sustainability