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, leading the mentorship program at StartX, and working as an engineer at BenchPrep.
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.
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.
Originally from Louisiana, Byron has been in the Bay Area for the past 10 years after finishing graduate studies in Biomedical Engineering at Purdue University. His graduate thesis centered around the investigation of the metabolic behavior of stem cells intended to treat spinal cord injury and traumatic brain injury. In his spare time, Byron enjoys almost anything related to the visual arts, drawing/sketching as a hobby, reading a lot of non-fiction, and exploring new adventures that the Bay Area has to offer.
Alina was previously a Senior Account Executive at Matmatch, a Munich based start-up operating in digital marketing for material suppliers. She was working with C level representatives from metal and polymer industries and was responsible for sales, customer onboarding and further customer success management. Prior to her job in Germany she was working as a project economist in the Oil&Gas construction company in Central Asia. Alina has a MA in International Business from University of Applied Sciences in Mainz.
Katie is a graduate of MIT, where she earned a B.S. in EECS and a Master’s of Engineering in Human-Computer interaction. Her graduate research with the MIT Visualization Group focused on building an intuitive, interactive web tool for users to make complex data visualizations. As an undergraduate, Katie’s research on large-scale modular soft robots was published in the Soft Robotics Journal. She previously interned as a full-stack developer at Peloton and on the Touch and Sensing team at Apple.
Nicholas was previously at the California Institute of Technology, where he received a B.S. in Computer Science. While at Caltech, he did research focused on computational methods for characterizing circumstellar disks imaged with the Hubble Space Telescope and enforced Caltech's Honor Code for three years on the Board of Control. Nicholas has also worked as a software engineering intern at Amazon and OpenX.
Isaac was previously at Amherst College, where he graduated with honors in Computer Science and completed medical school requisites. His honors thesis focused on addressing computational problems in life science with Bayesian statistics. Before Uncountable, Isaac was developing interactive data visualizations for functional ecology education with the TrEnCh Project at the University of Washington.
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.
Joseph previously received his PhD in Materials Engineering from Stanford (Appel Lab). Through his PhD he designed (1) the fastest acting insulin formulation and (2) a cold chain resilient insulin formulation through high-throughput polymer synthesis and characterization. He has also worked in research labs at CSIRO in Melbourne (Rapid Automated Materials Processing Lab), UCSB (Hawker Lab), Eindhoven University of Technology (Meijer Lab) and was a Goldwater Scholar, Stanford Graduate Fellow, and a National Defense Graduate Fellow. In his free time, he is definitely surfing, or at least dreaming about it.
Tim studied Applied-Mathematics and Computer Science at Brown University, focusing on the Artificial Intelligence and Machine Learning pathway. He spent two years as an undergraduate teaching assistant for Brown's introductory Computer Science course, developing course materials and teaching new students core computer science concepts. Tim has previous experience as a full-stack developer at Brown-funded startups. In his spare time, he enjoys working on personal projects, and has recently started his senior year capstone on game development.
Ryan was previously at the University of Chicago, where he received degrees in 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.
Evghenii completed his Bachelor’s degree and is doing his Master’s degree in CS at the Technical University of Munich. As a working student at fortiss, he built NLP and statistical models to generate task-dependent technology toolstacks. At university, he worked on projects related to VR, robotics and game theory. Currently, he is also involved in research in the field of Juris-Informatics in partnership with the National Institute of Informatics in Tokyo.
Edaqa was previously a freelance programmer specializing in complex technical systems. His recent work was on financial platforms as well as graphics and animation. He is an active online teacher and writer.
Vivian was previously at Cornell University, where she received a B.A. in Information Science & French. During her time at Cornell, she did research in a robotics lab that built a remote collaboration system using telepresence robots, and led a project team that created an application to optimize energy efficiency for HVAC systems in buildings. She has previously worked on software for the Mars 2020 rover at NASA's Jet Propulsion Laboratory.
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.
Shazia was previously Manager of the Account Management team at STRATIM, a San Francisco startup modernizing fleet operations. She led a team responsible for software implementations for dozens of customers, translating their needs and streamlining their processes to increase productivity. She is an award winning Sales professional with a high acumen for building lasting customer relationships.
Robin was previously the Head of Customer Experience & Success at Pypestream, responsible for all conversational AI customer implementations and ongoing support. Prior to that he was a Delivery Lead in IBM's Cognitive & AI practice, where he deployed SaaS solutions leveraging Watson APIs for electronics, chemicals and manufacturing companies. Robin is a graduate of the Jerome Fisher Program at the University of Pennsylvania where he earned a B.S. in Materials Science & Engineering and a B.S. in Economics from the Wharton School.
Yakov Kutsovsky is the CEO of MateriaX, an advisory firm enabling development and commercialization of new materials. He is also Senior Advisor at Uncountable and an Expert-in-Residence at Harvard University. Over the last 15 years, Yakov was the CTO and CSO of Cabot Corporation, a global specialty chemicals company. Yakov led the development of multiple products and manufacturing innovations. Yakov advanced Cabot-wide technology platforms including elastomeric composites, materials for next generation tires, adhesives and batteries. Yakov holds PhD in Chemical Engineering from the University of Minnesota. Yakov has published 20 papers and was granted 17 patents covering a broad range of technical areas.
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.