Animesh Trivedi

Animesh Trivedi is a tenure-track Assistant Professor in the department of Computer Science at VU Amsterdam. Prior to joining the department in 2019, he has worked as a Research Staff Member at the IBM Research Lab in Zurich. His research interests lie in building fast and efficient distributed systems around modern high-performance, programmable I/O devices. He is currently investigating how to leverage emerging Non-Volatile Memories (NVMs) to support data access demands of machine learning workloads. He is one of the founding members of the Apache Crail (Incubating) project. He holds a PhD and master from ETH Zurich. More about his work can be found at https://animeshtrivedi.github.io.

Veronika Cheplygina

Veronika Cheplygina is an assistant professor at the Medical Image Analysis group, Eindhoven University of Technology since February 2017. She received her Ph.D. from the Delft University of Technology for her thesis "Dissimilarity-Based Multiple Instance Learning" in 2015. As part of her PhD, she was a visiting researcher at the Max Planck Institute for Intelligent Systems in Tuebingen, Germany. From 2015 to 2016 she was a postdoc at the Biomedical Imaging Group Rotterdam, Erasmus MC, where she applied machine learning algorithms to medical image analysis problems. Her research interests are centered around learning scenarios where few labels are available, such as multiple instance learning, transfer learning, and crowdsourcing. Next to research, Veronika blogs about academic life at http://www.veronikach.com/.

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