Postdoctoral Research Fellow at Harvard Medical School
Cambridge, Massachusetts, United States
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Summary
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Senior
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Top School
Ricardo Kleinlein is a Postdoctoral Research Fellow and applied AI scientist with nine years of research experience translating multimodal machine learning into healthcare impact. Currently at Harvard Medical School, he develops AI systems to prevent, monitor and assist treatment of pregnancy-related diseases, building on a PhD that modeled human perception across vision, speech and text. His background spans speech processing, explainable ML using perceptual distances and manifold-aware methods, and practical deep learning for medical devices such as an intelligent artificial pancreas. He combines strong formal training in physics, robotics and computational mathematics with hands-on translational projects in hospitals and industry. Colleagues value his ability to bridge rigorous cognitive modelling with deployable clinical tools and a track record of international research stays in Japan and the UK. An understated strength is his fluency integrating embeddings across network layers to improve acoustic and perceptual modeling, a skill that informs both explainability and clinical robustness.
9 years of coding experience
1 year of employment as a software developer
UOC (Universitat Oberta de Catalunya)
Bachelor's degree Ciencias físicas, Bachelor's degree Ciencias físicas at Universidad Autónoma de Madrid
Executive Master in Impacto Público y Social Human Services General, Executive Master in Impacto Público y Social Human Services General at Universidad Internacional de La Rioja
Master of Science (M.Sc.) Automática y Robótica, Master of Science (M.Sc.) Automática y Robótica at Universidad Politécnica de Madrid
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Ricardo Kleinlein - Postdoctoral Research Fellow at Harvard Medical School