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.

KALLI ANGEL  ACCOUNT MANAGEMENT  Kalli was previously a Senior Team Leader at GLG. She led GLG's Corporate Markets team in the EMEA region, working on key challenges for Strategy and Innovation executives at FTSE 100 firms across Europe in the Chemical and Pharmaceutical sectors. She designed successful technology implementation and change management initiatives, both internally and for clients. Kalli is a graduate of Yale University, where she earned a B.A. in Comparative Literature.

KALLI ANGEL

ACCOUNT MANAGEMENT

Kalli was previously a Senior Team Leader at GLG. She led GLG's Corporate Markets team in the EMEA region, working on key challenges for Strategy and Innovation executives at FTSE 100 firms across Europe in the Chemical and Pharmaceutical sectors. She designed successful technology implementation and change management initiatives, both internally and for clients. Kalli is a graduate of Yale University, where she earned a B.A. in Comparative Literature.


ANDRÉS GONZÁLEZ PADILLA  ENGINEERING  Andrés was previously at the Technical University of Munich, where he received a Masters’ in Physics. His research focused on medical applications of machine learning, culminating in a publication on predicting tumor growth to improve treatment personalization. Andrés is also a graduate of Tec of Monterrey in México and has developed machine learning models for insurance and materials companies.

ANDRÉS GONZÁLEZ PADILLA

ENGINEERING

Andrés was previously at the Technical University of Munich, where he received a Masters’ in Physics. His research focused on medical applications of machine learning, culminating in a publication on predicting tumor growth to improve treatment personalization. Andrés is also a graduate of Tec of Monterrey in México and has developed machine learning models for insurance and materials companies.

YIJUN GUO  ENGINEERING  Yijun was previously at the University of California, Berkeley, where she completed her postdoctoral program in chemistry. She researched nanomaterial synthesis, catalyst design, and anti-corrosive paint formulation. She consulted for Berkeley National Labs and participated in the Insight Data Science Program. Yijun is a graduate of Iowa State, where she earned a PhD in Chemistry.

YIJUN GUO

ENGINEERING

Yijun was previously at the University of California, Berkeley, where she completed her postdoctoral program in chemistry. She researched nanomaterial synthesis, catalyst design, and anti-corrosive paint formulation. She consulted for Berkeley National Labs and participated in the Insight Data Science Program. Yijun is a graduate of Iowa State, where she earned a PhD in Chemistry.

WILL TASHMAN  FOUNDER  Will was previously a Product Design Engineer at Apple, where he developed 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 a graduate of MIT where he earned a B.S. in Materials Science and Engineering and a minor in Mechanical Engineering.

WILL TASHMAN

FOUNDER

Will was previously a Product Design Engineer at Apple, where he developed 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 a graduate of MIT where he earned a B.S. in Materials Science and Engineering and a minor in Mechanical Engineering.

WILL GOLDIE  ENGINEERING  Will was previously at the University of Toronto, where he received a B.S. in Computer Science. He has previously worked on AI-driven tools for generative design and live communications as well as a consultant on a variety of web development projects.

WILL GOLDIE

ENGINEERING

Will was previously at the University of Toronto, where he received a B.S. in Computer Science. He has previously worked on AI-driven tools for generative design and live communications as well as a consultant on a variety of web development projects.

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

AVI KEJRIWAL  ENGINEERING  Avi was previously an Operations Analyst at MET International, where he developed data processing tools. He has experience in machine learning through his completion of the Metis program. His material science research includes studying 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 processing tools. He has experience in machine learning through his completion of the Metis program. His material science research includes studying 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.

RYAN KUANG  ENGINEERING  Ryan is a current student at the University of Chicago studying Economics and Computer Science. He was named Chicago Innovation’s 25 under 25 for co-founding a political technology startup. His company completed the Polsky Accelerator and was a finalist in Booth’s Social New Venture Challenge. Ryan also has research experience at the Becker Friedman Institute and the Harris School of Public Policy.

RYAN KUANG

ENGINEERING

Ryan is a current student at the University of Chicago studying Economics and Computer Science. He was named Chicago Innovation’s 25 under 25 for co-founding a political technology startup. His company completed the Polsky Accelerator and was a finalist in Booth’s Social New Venture Challenge. Ryan also has research experience at the Becker Friedman Institute and the Harris School of Public Policy.

JOSH MILLER  ACCOUNT MANAGEMENT  Josh was previously a Business Development Manager at Quid, where he supported strategic growth initiatives to help Fortune 100 consumer goods, consulting, and technology companies leverage artificial intelligence to enhance their decision-making processes. Josh is a graduate of Princeton University where he earned a B.A. in Economics.

JOSH MILLER

ACCOUNT MANAGEMENT

Josh was previously a Business Development Manager at Quid, where he supported strategic growth initiatives to help Fortune 100 consumer goods, consulting, and technology companies leverage artificial intelligence to enhance their decision-making processes. Josh is a graduate of Princeton University where he earned a B.A. in Economics.

RICHARD GARCIA  SALES  Richard was previously a Sales Manager and Account Executive at Odoo, where his team marketed a suite of integrated business applications to C-level executives and business owners. Richard is a graduate of Friedrich Alexander Universität Erlangen-Nürnberg where he earned a Masters in International Business Studies and San Diego State University where he received a Bachelors in International Business.

RICHARD GARCIA

SALES

Richard was previously a Sales Manager and Account Executive at Odoo, where his team marketed a suite of integrated business applications to C-level executives and business owners. Richard is a graduate of Friedrich Alexander Universität Erlangen-Nürnberg where he earned a Masters in International Business Studies and San Diego State University where he received a Bachelors in International Business.

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.

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.

NUPUR JAIN  ENGINEERING  Nupur was previously at the Johns Hopkins University, where she received a B.S. in Chemical and Biomolecular Engineering and Applied Mathematics and Statistics. She has previously conducted cancer research, on the effects of cell environment on cell growth and migration, resulting in two publications. Nupur brings to the data science team expertise in both biochemistry and statistics.

NUPUR JAIN

ENGINEERING

Nupur was previously at the Johns Hopkins University, where she received a B.S. in Chemical and Biomolecular Engineering and Applied Mathematics and Statistics. She has previously conducted cancer research, on the effects of cell environment on cell growth and migration, resulting in two publications. Nupur brings to the data science team expertise in both biochemistry and statistics.

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.

SEAN HUANG  ENGINEERING  Sean is a current student at the University of California, Berkeley concentrating in Computer Science and Mathematics. He is passionate about software engineering and research in machine learning and systems. He has previously founded a technology startup and worked as a developer and analyst. He was also a USA Computing Olympiad winner. In his free time, he enjoys flying drones and traveling.

SEAN HUANG

ENGINEERING

Sean is a current student at the University of California, Berkeley concentrating in Computer Science and Mathematics. He is passionate about software engineering and research in machine learning and systems. He has previously founded a technology startup and worked as a developer and analyst. He was also a USA Computing Olympiad winner. In his free time, he enjoys flying drones and traveling.

ERIC ZELIKMAN  ENGINEERING  Eric is a current student at Stanford studying Symbolic Systems. Eric has worked as a software and mechanical engineer at a survey-focused AI startup and a chemical process control company. 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 worked as a software and mechanical engineer at a survey-focused AI startup and a chemical process control company. 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.

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.

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.

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.

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.