DAG Talk series: Casper Goverde
Ever wondered what happens during a PhD? Unsure about your next career steps? Interested in academia but have many questions?
We have created the DAG Talk series - a new “AI in Academia” talk series - to answer all of your questions and show you the world of data science in academia and research. This is the opportunity to interact first-hand with people in the field!
In our first installment, we have invited Babak Rahmani, a PhD in electrical engineering. He presented his work on machine learning algorithms to characterize diverse physical systems!
The DAG Talk event featuring Casper Goverde, a Ph.D. in Computational and Quantitative Biology at EPFL, was an informative and insightful discussion on the topic of machine learning in protein design. During the talk, Goverde highlighted the impact of deep learning, which has been combined with a vast amount of experimental information on protein sequences and structures to revolutionize the field of protein design.
The talk was an excellent opportunity for attendees to learn about the fundamental principles that underlie deep learning and how it can be applied in the field of protein design. Goverde also discussed the challenges he faces in his research, providing valuable insights into the current state of the field.