Team

 
  NOEL HOLLINGSWORTH    FOUNDER   Noel was previously the Director of Data at Second Spectrum, where in 2016 he was named to the Forbes 30 under 30 for his work with spatial-temporal pattern recognition. He worked with 14 NBA teams to improve their game plans and leverage player movement data for a competitive advantage. Noel is a graduate of MIT where he earned a Master’s of Engineering with a focus on machine learning and a B.S. in Computer Science.

NOEL HOLLINGSWORTH

FOUNDER

Noel was previously the Director of Data at Second Spectrum, where in 2016 he was named to the Forbes 30 under 30 for his work with spatial-temporal pattern recognition. He worked with 14 NBA teams to improve their game plans and leverage player movement data for a competitive advantage. Noel is a graduate of MIT where he earned a Master’s of Engineering with a focus on machine learning and a B.S. in Computer Science.

  JANE CHEN-LIANG    SALES   Jane previously worked as Business Development Manager at Ovia Health, working to build advertising and market research partnerships with consumer product and pharmaceutical companies. Prior to that, she worked at Saint-Gobain, first as a R&D Engineer in abrasives and then as Technical Sales Manager in structural ceramics and ceramic coatings. Jane is a graduate of MIT where she earned a B.S. in Materials Science and Engineering.

JANE CHEN-LIANG

SALES

Jane previously worked as Business Development Manager at Ovia Health, working to build advertising and market research partnerships with consumer product and pharmaceutical companies. Prior to that, she worked at Saint-Gobain, first as a R&D Engineer in abrasives and then as Technical Sales Manager in structural ceramics and ceramic coatings. Jane is a graduate of MIT where she earned a B.S. in Materials Science and Engineering.

  AVI KEJRIWAL    ENGINEERING   Avi was previously an Operations Analyst at MET International, where he developed data collection and processing tools. He has experience in statistical modeling and machine learning through his completion of the Metis program. He has previously done research in materials science, having studied the effects of nanoparticles in semiconductor films. Avi is a graduate of Washington University in St. Louis where he earned a Master's and B.S. in Electrical Engineering.

AVI KEJRIWAL

ENGINEERING

Avi was previously an Operations Analyst at MET International, where he developed data collection and processing tools. He has experience in statistical modeling and machine learning through his completion of the Metis program. He has previously done research in materials science, having studied the effects of nanoparticles in semiconductor films. Avi is a graduate of Washington University in St. Louis where he earned a Master's and B.S. in Electrical Engineering.

  JASON HIRSHMAN    FOUNDER   Jason was previously at Stanford University where he received a Master’s in Computer Science and a B.S. in Mathematics. He was selected for the Stanford A.I. Innovation Group, which sought to apply machine learning in impactful ways. Jason's prior industry experience includes building software at Palantir to model data from Syrian refugee camps and working with the World Bank on their proposal review process.

JASON HIRSHMAN

FOUNDER

Jason was previously at Stanford University where he received a Master’s in Computer Science and a B.S. in Mathematics. He was selected for the Stanford A.I. Innovation Group, which sought to apply machine learning in impactful ways. Jason's prior industry experience includes building software at Palantir to model data from Syrian refugee camps and working with the World Bank on their proposal review process.

  BRYAN CHEONG    ENGINEERING   Bryan was previously a researcher at Stanford University and the Taiwan Institute of Economic Research. His previous work ranged from optimizing algorithms for fast-charging Lithium-ion batteries to modeling multilingual natural language data. Bryan is a graduate of Stanford University where he earned a Master's in Materials Science and Engineering and a B.S. with Honors in Mathematical and Computational Science.

BRYAN CHEONG

ENGINEERING

Bryan was previously a researcher at Stanford University and the Taiwan Institute of Economic Research. His previous work ranged from optimizing algorithms for fast-charging Lithium-ion batteries to modeling multilingual natural language data. Bryan is a graduate of Stanford University where he earned a Master's in Materials Science and Engineering and a B.S. with Honors in Mathematical and Computational Science.

  WILL TASHMAN    FOUNDER   Will was previously a Product Design Engineer at Apple, where he created, developed, and integrated key design features in ground-breaking laptops. While at Apple, he worked in large-scale assembly plants to implement design features and processes that were optimized for mass-production environments. Will is also a graduate of MIT where he earned a B.S. in Materials Science and Engineering and minor in Mechanical Engineering.

WILL TASHMAN

FOUNDER

Will was previously a Product Design Engineer at Apple, where he created, developed, and integrated key design features in ground-breaking laptops. While at Apple, he worked in large-scale assembly plants to implement design features and processes that were optimized for mass-production environments. Will is also a graduate of MIT where he earned a B.S. in Materials Science and Engineering and minor in Mechanical Engineering.

  MEGHAL GUPTA    ENGINEERING   Meghal is a current student at MIT majoring in Mathematics with Computer Science. She has done research in cluster algebras, where she solved an open problem regarding convergence of polynomials, which relates to stabilization of certain physical systems. She has previously worked at Jane Street Capital as a trading intern. She is a team leader for the USA team for the European Girls Math Olympiad.

MEGHAL GUPTA

ENGINEERING

Meghal is a current student at MIT majoring in Mathematics with Computer Science. She has done research in cluster algebras, where she solved an open problem regarding convergence of polynomials, which relates to stabilization of certain physical systems. She has previously worked at Jane Street Capital as a trading intern. She is a team leader for the USA team for the European Girls Math Olympiad.

  FLORIAN HASE    ENGINEERING   Florian is currently a PhD candidate in Chemical Physics at Harvard University, and a researcher at the Vector Institute for Artificial Intelligence. He completed an M.Sc and B.Sc in Physics at the Technical University of Munich, where he focused on theoretical and computational molecular dynamics. He develops algorithmic tools for inverse design and unsupervised experimentation in chemistry and materials science.

FLORIAN HASE

ENGINEERING

Florian is currently a PhD candidate in Chemical Physics at Harvard University, and a researcher at the Vector Institute for Artificial Intelligence. He completed an M.Sc and B.Sc in Physics at the Technical University of Munich, where he focused on theoretical and computational molecular dynamics. He develops algorithmic tools for inverse design and unsupervised experimentation in chemistry and materials science.

  DYLAN CABLE    ENGINEERING   Dylan received a B.S. in Mathematics from Stanford, where he was awarded the Sterling Award as one of the top 25 members of the graduating class. Previously, Dylan has done research in probability theory, where he solved an open problem about randomly interacting particles. Dylan has published a paper in  Journal of Neuroscience , where his mathematical and experimental analysis challenged the conclusions of a common method for analyzing fMRI data.

DYLAN CABLE

ENGINEERING

Dylan received a B.S. in Mathematics from Stanford, where he was awarded the Sterling Award as one of the top 25 members of the graduating class. Previously, Dylan has done research in probability theory, where he solved an open problem about randomly interacting particles. Dylan has published a paper in Journal of Neuroscience, where his mathematical and experimental analysis challenged the conclusions of a common method for analyzing fMRI data.

  MILIND JAGOTA    ENGINEERING   Milind is a current student at Stanford, majoring in Electrical Engineering with a focus on information systems. He has experience in data analytics, computational physics, and machine learning. Milind published in  Scientific Reports  for applying Monte Carlo simulations to study nanowire networks. He also works in the Dror Lab at Stanford on ML frameworks for prediction of protein dynamics.

MILIND JAGOTA

ENGINEERING

Milind is a current student at Stanford, majoring in Electrical Engineering with a focus on information systems. He has experience in data analytics, computational physics, and machine learning. Milind published in Scientific Reports for applying Monte Carlo simulations to study nanowire networks. He also works in the Dror Lab at Stanford on ML frameworks for prediction of protein dynamics.

  ERIC ZELIKMAN    ENGINEERING   Eric is a current student at Stanford studying Symbolic Systems. Eric has previously worked at a survey-focused AI startup as a full-stack engineer and at a chemical process control company doing software and mechanical engineering. At Stanford, he conducts machine learning research, with focus on distributional representations and natural language processing. He is also an editor-in-chief of the Stanford Undergraduate Research Journal.

ERIC ZELIKMAN

ENGINEERING

Eric is a current student at Stanford studying Symbolic Systems. Eric has previously worked at a survey-focused AI startup as a full-stack engineer and at a chemical process control company doing software and mechanical engineering. At Stanford, he conducts machine learning research, with focus on distributional representations and natural language processing. He is also an editor-in-chief of the Stanford Undergraduate Research Journal.

  CELINE LIANG    ENGINEERING   Celine is a current student at Harvard concentrating in Statistics and Mathematics. She enjoys learning about topics in statistics and machine learning and is currently doing research in applications of reinforcement learning to mobile health. She has previously worked at D. E. Shaw & Co. as a trading intern and was a USAMO winner in high school. In her free time, she enjoys running and traveling.

CELINE LIANG

ENGINEERING

Celine is a current student at Harvard concentrating in Statistics and Mathematics. She enjoys learning about topics in statistics and machine learning and is currently doing research in applications of reinforcement learning to mobile health. She has previously worked at D. E. Shaw & Co. as a trading intern and was a USAMO winner in high school. In her free time, she enjoys running and traveling.

  ARJUN SRINIVAS    SALES   Arjun was previously a founder of Innova Dynamics (Acq. TPK Holdings Co. Ltd.), a functional materials company, where he served as Chief Strategy Officer and Board Director. Business Week recognized him as one of “America's Best Young Entrepreneurs.” Arjun holds degrees from the University of Pennsylvania in Economics/Finance and Materials Science and Engineering and holds 12 granted US patents.

ARJUN SRINIVAS

SALES

Arjun was previously a founder of Innova Dynamics (Acq. TPK Holdings Co. Ltd.), a functional materials company, where he served as Chief Strategy Officer and Board Director. Business Week recognized him as one of “America's Best Young Entrepreneurs.” Arjun holds degrees from the University of Pennsylvania in Economics/Finance and Materials Science and Engineering and holds 12 granted US patents.