Tonio Buonassisi is a Professor of Mechanical Engineering at the Massachusetts Institute of Technology (MIT). He is pioneering the application of artificial intelligence to develop new materials for societally beneficial applications. His research in solar photovoltaics and technoeconomic analysis assisted technology developments in dozens of companies, earning him a US Presidential Early Career Award for Scientists and Engineers (PECASE), a National Science Foundation CAREER Award, and a Google Faculty Award. He directs the Accelerated Materials Lab for Sustainability at MIT, served as founding director for the Accelerated Materials Development for Manufacturing Programme in Singapore, and co-founded the non-for-profit Fraunhofer Center for Sustainable Energy Systems.

A recipient of the prestigious MIT Everett Moore Baker Memorial Award for Excellence in Undergraduate Teaching, his passion for education is evidenced by the ~1M views of his OpenCourseware/YouTube PV lectures.

I am a master's student in the mechanical engineering department. My professional interest is in renewable energy, specifically, developing new technologies and processes to improve renewable energy systems that will eventually displace fossil fuels and aid in the fight against climate change. My personal interest are music, I play violin, and hiking. I also love spending time with family and friends!

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Fang received her B.E. in materials science and engineering in 2022 at Tsinghua University, Beijing, China. Her hobbies include playing the piano, doing sports and traveling.

Aleks is a Ph.D. candidate at MIT in mechanical engineering. His research focuses on developing high-throughout technology to drive the discovery of high-performance semiconductor and metal alloy materials for sustainable applications. Aleks is one of the inventors of Archerfish, a high-throughout direct multi-material printer capable of synthesizing thousands of unique material compositions per minute. To further accelerate the throughout of his hardware, Aleks designs novel algorithms, which include optimization, computer vision, inverse design, robotics, and control software. When Aleks isn’t building algorithms and hardware, he is likely doing acroyoga in Killian Court or skiing the nearby mountains.