Speaker

Photo: Ariel Biller

Ariel Biller

Evangelist
ClearML
Connect with Ariel

Researcher first, developer second, in the last 5 years Ariel worked on various projects from the realms of quantum chemistry, massively-parallel supercomputing and deep-learning computer-vision. With AllegroAi, he helped build an open-source R&D platform (Allegro Trains), and later went on to lead a data-first transition for a revolutionary nanochemistry startup (StoreDot). Answering his calling to spread the word on state-of-the-art research best practices, He recently took up the mantle of Evangelist at ClearML. Ariel received his PhD in Chemistry in 2014 from the Weizmann Institute of Science. With a broad experience in computational research, he made the transition to the bustling startup scene of Tel-Aviv, and to cutting-edge Deep Learning research.

Conference Sessions

Case Study
TWIMLcon  2021
Theator is a Surgical Intelligence Platform providing revolutionary personalized analytics on lengthy surgical operation videos. In this session, we will make a brief - but deep - dive into Theator's continuous training and inference pipelines, and detail the exciting interplay between in-house and provided.