Tue, Apr 30, 2019

12 PM – 1 PM EDT (GMT-4)

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E62-223

100 Main Street, Cambridge, MA 02139, United States

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For its last event of the semester, the MIT Analytics Speaker Series is glad to welcome three great startups that use artificial intelligence to revolutionize healthcare. Our speakers will show how various types of data (numerical data, voice recordings, and images) can be harnessed using machine and deep learning to help doctors and improve patients' lives. Each startup will present a technical case study of their work in the healthcare industry, from data, to models, to decisions. Lunch will be provided.
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Where

E62-223

100 Main Street, Cambridge, MA 02139, United States

Speakers

Jordan Levine's profile photo

Jordan Levine

Co-Founder and Partner

Alexandria Health

Jordan Levine is a co-founder and partner of Alexandria Health. A former United States Marine Corps officer and veteran of both the Afghanistan and Iraq conflicts, Jordan spent seven years at McKinsey & Company. The latter half of his time, he served as the global learning and development lead for analytics. There, he architected a strategy and oversaw a learning team that engaged ~3,000 McKinsey colleagues per year at the executive, manager, and technical talent levels. Key milestones included the creation of a cohort of 1,000+ ‘Analytics Translators’ and the development of novel approaches to on-board and integrate analytics technical talent as well as assess their technical competence in a business environment. Prior to leading analytics learning, he was an engagement manager in the operations practice with a focus in supply chain management.

Jordan holds a master’s in engineering from the Massachusetts Institute of Technology (MIT) and mathematics degree from the United States Naval Academy.

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Sub Datta

Chief Executive Officer

CompanionMx

Sub Datta is the CEO of CompanionMx, a digital health technology company with a proven platform for proactive mobile behavioral health monitoring for better clinical outcomes. Born out of the MIT Media Lab and clinically validated with >1500 patients at Harvard Teaching hospitals and Veterans Affairs clinics, its solution, the CompanionTM system uses active monitoring of voice and passive monitoring of smartphone metadata to continuously produce acoustic and behavioral biomarkers that predict symptoms of mood and anxiety.

Prior to joining CompanionMx, Sub was the Chief Business Officer of Soft Robotics. He additionally played leadership roles in building and scaling start-up business units within Smith & Nephew and EMD Serono, and was the General Manager of Smith & Nephew’s value segment subsidiary in the Emerging Markets. He holds 2 issued and 2 pending patents. With expertise in product development, strategy, operations and commercialization, Sub is deeply passionate about behavioral health and using technology to make meaningful difference to people’s lives, while reducing the cost of healthcare access and delivery.

Sub has an MBA from MIT Sloan, SM in Engineering Systems from MIT, MS in Materials Science & Engineering from Ohio State University and BE in Metallurgical Engineering from IIT, Roorkee.


Matahi Moarii's profile photo

Matahi Moarii

Partnership and Translational Research Manager

OWKIN

Matahi graduated from Ecole Polytechnique in France before completing a PhD in machine learning for Computational Biology at Mines ParisTech under the co-supervision of Jean-Philippe Vert and Fabien Reyal developing new machine learning models for breast cancer prognosis. He then moved to New York as a Research Fellow at Memorial Sloan Kettering Cancer Center focusing on the genetics of myeloid diseases before joining Owkin as a Partnership and Translational Research Manager. He now leads the translational research efforts at Owkin.

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