# Ben Rosand > Co-Founder and CTO at Cleo Location: New York, New York, United States Profile: https://flows.cv/benrosand Building things @ Cleo Health ## Work Experience ### Co-Founder and CTO @ Cleo Health Jan 2023 – Present | New York, New York, United States ### Applied AI @ Ramp Jan 2023 – Jan 2025 ### Founding Engineer, ML @ Normal Computing Jan 2022 – Jan 2023 | New York, New York, United States ### Machine Learning Scientist -- CarDS Lab (Rohan Khera) @ Yale University Jan 2020 – Jan 2022 ### Student Researcher -- LiLy Lab (Dragomir Radev) @ Yale University Jan 2020 – Jan 2021 ### Quantum Software developer @ IBM Jan 2021 – Jan 2022 ### Quantum Computing Curriculum Developer @ The Coding School Jan 2020 – Jan 2021 ### Quantum Computing Intern @ IBM Jan 2020 – Jan 2021 ### Quantum Software Engineer Intern @ Rigetti Computing Jan 2020 – Jan 2020 • Designed and developed a machine learning framework for quantum computer chip simulation. • Achieved speedup of multiple orders of magnitude from existing simulation software. • Independently learned to run and modify complex existing simulation codebases. ### Research Project -- John Murray Lab @ Yale University Jan 2019 – Jan 2020 On stability of Canonical Correlation Analysis and Partial Least Squares with application to brain-behavior associations Markus Helmer, Shaun Warrington, Ali-Reza Mohammadi-Nejad, Jie Lisa Ji, Amber Howell, Benjamin Rosand, Alan Anticevic, Stamatios N. Sotiropoulos, John D. Murray bioRxiv 2020.08.25.265546; doi: https://doi.org/10.1101/2020.08.25.265546 ### Research Engineer Intern @ Reservoir Labs Jan 2018 – Jan 2019 • Researched and spearheaded development of a critical aspect of a substantial governmental contract. • Modeled physical processes and addressed signal processing issues using techniques such as machine learning, noise processing, and clustering. • Optimized complex programs for memory usage and run-time. Tuned programs down to the level of seconds ### Student Researcher -- Yale Quantronics Laboratory (Michel Devoret) @ Yale University Jan 2017 – Jan 2018 • Investigated a new form of computation using ”logic fields” instead of logic gates. • Applied this technique to solve non-polynomial computational problems such as prime factorization. • Researched the applications of quantum computers for this computing technique to solve problems such as prime factorization. ### Student Researcher -- Relativistic Heavy Ion Group (Helen Caines) @ Yale University Jan 2017 – Jan 2017 • Analyzed massive datasets from particle colliders using machine learning. Optimized models to run on supercomputer GPUs. • Developed and implemented ML models for particle collisions building off of computer vision research. • Constructed novel techniques for extracting physics models from neural networks and for discovering what networks learned. • Received award to present research at the 2017 meeting of the Division of Nuclear Physics of the American Physical Society ### Student Researcher -- Biogeochemistry group (Elsie Sunderland) @ Harvard University Jan 2015 – Jan 2015 • Used a variety of statistical techniques to construct and analyze a number of large many-dimensional datasets. • Researched and implemented procedures for examining, dissecting, and quantitatively evaluating the stomach contents of fish. • Created graphic representations of research results, demonstrating factors that contribute to high levels of mercury in a Canadian Inuit population. Graphics were distributed to the population as part of a public service effort to change dietary habits and minimize consumption of mercury ## Education ### Bachelor of Science - BS in Physics Yale University ## Contact & Social - LinkedIn: https://linkedin.com/in/benjamin-rosand --- Source: https://flows.cv/benrosand JSON Resume: https://flows.cv/benrosand/resume.json Last updated: 2026-04-07