Fueling innovative software
July 15-18, 2019
Portland, OR

Data Scientist and Developer Advocate, IBM

Jeremy Nilmeier is a developer advocate, data scientist, and member of the IBM Center for Open-Source Data & AI Technologies (CODAIT), where he works with with open source frameworks for big data, machine learning, and deep learning. He completed the Insight data engineering program. He holds a BS in chemical engineering from the University of California, Berkeley, and a PhD in computational biophysics from the University of California, San Diego, which he followed with postdoctoral research in biophysics and bioinformatics at UC Berkeley, Lawrence Berkeley and Livermore Laboratories, and Stanford as an OpenMM fellow.


3:30pm5:00pm Tuesday, July 16, 2019
Location: E141/142
Average rating: ****.
(4.50, 2 ratings)
Patrick Titzler, va barbosa, and Jeremy Nilmeier demonstrate how to incorporate state-of-the-art open source deep learning functionality into your applications and services and how to train a model using your own data. Read more.