Uncountable started with a desire to bring machine learning technology to companies whose innovations fall outside the digital realm.
Materials and chemicals companies are under pressure to improve their products year after year, but the technology supporting their R&D teams has not kept pace. Scientists are tasked with solving complex product development problems without the ability to harness the vast troves of data collected even within their own company.
Uncountable's mission is to accelerate R&D across the materials and chemicals industry. Our founding team of MIT and Stanford engineers brings expertise in software development and creating real-world artificial intelligence solutions. Headquartered in San Francisco, we are building a team of intellectually-curious, scientifically-inspired engineers and business leaders to deliver transformative solutions.
Founded by engineers from MIT and Stanford, Uncountable enables the development of the next generation of formulated products and materials. As a curious, motivated team with diverse backgrounds and knowledge bases, we solve difficult problems in real-world environments.
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.
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.
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.
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.
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.B. in comparative literature.
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.
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 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.
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 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.
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.
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.
Jason was previously the cofounder of a 3D printing startup focused on serving foundries and developed custom composite formulations to withstand harsh production environments. His experience includes designing metal matrix composite castings, and building process control software. Jason is a graduate of the University of Pittsburgh where he earned a B.S. in Materials Science and Engineering.
Brendan Le is a current student at Brown University, concentrating in Computer Science and Applied Mathematics. Brendan has done research in human-computer interaction on a project that analyzed designers' sketching behavior, as well as research in explainable AI and deep reinforcement learning. He has experience with modern web app development and also enjoys working on game development projects in his spare time.
Matthew is currently enrolled in a Master’s program at Carnegie Mellon University studying Electrical and Computer Engineering. He previously graduated from the University of Southern California with a BS in Chemical Engineering. In between programs he was a Senior Materials Engineer at Kitty Hawk and led the materials qualification program for certification of the Cora aircraft.
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.
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.
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.
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.
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 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.
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.