How an analytics-based predictive model can improve kidney transplant survival rates
Doctors need to trust their intuition, but a decision support tool can help them make hard choices.
Faculty
Nikolaos (Nikos) Trichakis is an Associate Professor of Operations Management at the MIT Sloan School of Management.
His research interests include optimization under uncertainty, data-driven optimization and analytics, with application in healthcare, supply chain management, and finance. Trichakis is also interested in the interplay of fairness and efficiency in resource allocation problems and operations, and the inherent tradeoffs that arise in balancing these objectives.
Before his doctoral studies, Trichakis worked in quantitative finance at SunGard APT in London. Prior to joining MIT, Trichakis was on the faculty of Harvard Business School.
He received his BS degree from Aristotle University (Greece), and MS degrees from Stanford University and Imperial College (UK), all in electrical and computer engineering. He holds a PhD in operations research from MIT.
Bertsimas, Dimitris, Jerry Kung, Nikolaos Trichakis, Yuchen Wang, Ryutaro Hirose, and Parsia A. Vagefi. American Journal of Transplantation Vol. 19, No. 4 (2019): 1109-1118. opom.online. Featured in JAMA. Supplementary Materials.
Bandi, Chaithanya, Nikolaos Trichakis, and Phebe Vayanos. Management Science Vol. 65, No. 1 (2019): 152-187.
Chod, Jiri, Nikolaos Trichakis, and S. Alex Yang. Management Science. Forthcoming. Download Paper .
Chod, Jiri, Mihalis Markakis, and Nikos Trichakis. Management Science Vol. 67, No. 10 (2021): 6513-6528. Download Paper.
Bertsimas, Dimitris, Stefan ten Eikelder, Dick den Hertog, and Nikolaos Trichakis, MIT Sloan Working Paper 6285-20. Cambridge, MA: MIT Sloan School of Management, July 2021.
Iancu, Dan A., Nikos Trichakis, and Do Young Yoon. Management Science Vol. 67, No. 7 (2021): 4233-4251. Appendix.
Doctors need to trust their intuition, but a decision support tool can help them make hard choices.
MIT Sloan Profs. Dimitris Bertsimas and Prof. Nikos Trichakis created a data-based model to improve the kidney transplant decision-making process.
"Can AI and analytics be used in a way that improves operational efficiency without jeopardizing our ethical principles?"