AIM Lab ML Engineer
Dara Rouholiman
Dara Rouholiman is a talented machine learning research engineer at Stanford University School of Medicine, dedicated to developing cutting-edge ML methods and systems that improve people’s health and longevity. With a strong background in data science and a passion for innovation, Dara has made significant contributions to the field of digital health.
Prior to joining Stanford, Dara served as a machine learning engineer and data science lead at Cor (Nueon Inc.), where he designed and deployed ML systems for at-home NIR spectrometers, helping users understand their body’s response to healthy interventions. He also co-founded Telesphora, an award-winning startup that utilized geotemporal event modeling to predict and mitigate opioid overdose outbreaks.
Dara’s expertise spans a wide range of areas, including machine learning, deep learning, software development, and medical technology. He has collaborated with numerous companies and organizations, such as 11Health, Enara Health, EVA, HHS, and Stanford University, to evaluate and validate ML models and systems.
Holding a Bachelor of Science degree in Physical Chemistry and Bioinformatics from the University of California, Santa Cruz, Dara has also earned certifications in Algorithms from Stanford University and Natural Language Processing from Udacity. His research has been published in prestigious journals, such as The Journal of Immunology and JMIR Research Protocols.
With his innovative mindset and strong technical skills, Dara Rouholiman is poised to make further groundbreaking contributions to the intersection of machine learning and healthcare, ultimately improving patient outcomes and transforming the future of medicine.
