I am a current PhD student in Materials Science and Engineering from Stanford University focused on developing machine learning models to analyze and interpret the results of large-scale scientific experiments and adaptively suggest future high-value experiments. My prior background is in Scientific Computing (MPhil from University of Cambridge) and Chemistry (Pomona College). I have also had the pleasure of working at two National Laboratories (NASA JPL and SLAC) as well as in the semiconductor industry (Applied Materials). I am interested in learning more about internship opportunities for 2023 and job listings for 2024.
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