Seth Neel

Seth Neel, PhD has an extensive work experience in various prestigious organizations. In 2021, they joined Harvard University as an Assistant Professor and Co-Principal Investigator of the Secure and Fair Machine Learning Lab. Prior to this, Seth was the Co-Founder and Chief Data Scientist at Welligence Energy Analytics, where they focused on asset valuation, forecasting, and carbon emissions. Seth has also worked as a PhD candidate in Data Science at the University of Pennsylvania, where they published papers, gave talks, and built algorithms. Seth's previous experience includes a summer analyst role at Goldman Sachs and a summer researcher position at the University of Minnesota, where they published a paper in the Journal of Physics A.

Seth Neel, PhD has a comprehensive education history. Seth received their High School Diploma in General studies from The Wheeler School in 2011. Following this, Seth pursued their undergraduate education at Harvard University from 2011 to 2015, earning a Bachelor of Arts (B.A.) degree with a major in Mathematics. Seth's passion for academia led him to pursue further studies, and from 2015 to 2020, they attended the University of Pennsylvania, where they completed their Doctor of Philosophy (PhD) degree in Statistics and Data Science. Seth's educational journey demonstrates their commitment to advancing their knowledge and expertise in the field of Mathematics and Statistics.