In the time since then, he has gone on to publish widely cited papers with them, among other colleagues in all, Trichakis has published over two dozen peer-reviewed articles. He received another master’s degree from Imperial College, London, then enrolled in MIT Sloan’s PhD program.Īt Sloan, Trichakis worked with Dimitris Bertsimas and Vivek Farias, two leading operations research scholars, receiving his PhD in 2011. Partly following the example of a friend, Trichakis enrolled in a master’s program at Stanford University, where he realized that operations research was located precisely at that same intersection, and decided to pursue it further. “For me, these are the two things that have always excited me.” “I started studying electrical engineering myself, but I always liked math, and the way I think about my research is as something that lies at that intersection,” Trichakis notes. “So I guess I have the virus of problem-solving.” He received his undergraduate degree in electrical engineering at Aristotle University, in Thessaloniki, but over time found that his interests did not lie strictly within the field. “I was raised in a family where literally everyone was an engineer, my uncles, my parents,” Trichakis says. Trichakis is a native of Greece who grew up in a family of engineers, something that heavily influenced his own career trajectory. “I think one of the innovations my work is bringing is applying optimization and quantitative thinking and analytics in real-world domains in a way that respects fairness, equity, and things that society expects,” Trichakis says.įor his research and teaching, Trichakis was awarded tenure at MIT last year. Over the last decade he has published research analyzing variations of this problem in many areas of life, from liver-transplant policy and scheduling infusions in cancer centers to corporate-finance decisions. But actually, there are ways to design systems that tackle it. ![]() The tension between efficiency and fairness can seem intractable. ![]() This kind of problem, broadly speaking, is one of many in which efficiency - in this case, perhaps gaining the most life-years from organ donations - can lie in tension with fairness, defined as a reasonable access to goods among many groups within society. ![]() “That’s not going to be acceptable in practice,” says Nikos Trichakis, an associate professor at the MIT Sloan School of Management. However, such a system would likely be regarded as discriminatory based on its use of age, and would be unlikely to gain society-wide approval. From one perspective, an optimized program might give organs to the youngest possible recipient, to maximize the number of life-years gained from each organ donation. Suppose you were designing a system to allocate organ donations for the greater good.
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