MLOps

Tuesday, September 27 • 1:15 - 2:15 p.m.

You built a machine learning model that gives great predictions, but now what? How do you deploy it so that it can be used by others in your company? How do you update your model as new data becomes available? How do you provide traceability as to which model (and data) were used to make which predictions that led to decisions? Machine Learning Operations, or MLOps, focuses on these topics and more, helping you maintain the product of your machine learning data pipeline.

Session Chair:

Ian Kerman, M.S. Biology, M.S. Computer Science (LabVoice)
Kerman serves as the director of customer success at LabVoice, a company that provides a voice assistant designed specifically for laboratory use. He has over 10 years of experience ranging from pipetting in an academic biology lab to developing code in an enterprise software company. Kerman obtained his M.S. in biology from the University of California San Diego, followed by his M.S. in computer science from the Georgia Institute of Technology. 

Speakers:

Edmondo Porcu, M.S. Electrical and Computer Engineering, M.B.A. (Sapient)
Porcu is the head of software and data engineering at Sapient, where he leads the build-out of the company’s next generation of information systems that will support the rapid scaling of business operations, with a particular focus on big data analytics, AI, ML, and MLOps. Prior to joining Sapient, he was co-founder and chief technology officer at Credimi, where he led the design, development, and operation of the software powering the largest B2B digital lending platform in continental Europe for SMBs.

Mike Tarselli, Ph.D. (TetraScience)
FAIR Data Ingestion and Harmonization
Tarselli is the Chief Scientific Officer for TetraScience, a Boston-based start-up building the life sciences R&D Data Cloud. He has held scientific and leadership roles at SLAS, Novartis, Millennium, ARIAD and Biomedisyn. Tarselli has received awards and fellowships from IUPAC, Wikipedia, ACS, NSF, and the Burroughs-Wellcome Trust. He actively volunteers for roles that promote scientific education and diversity, including the National Science Foundation, the Pistoia Alliance, the NIH Assay Guidance Manual and the UMass College of Natural Sciences advisory board.