Symposium 2020

The 2020 MINDS Symposium on the Foundations of Data Science held February 18 & 20, 2020 in Hodson Hall.

Leading data science researchers will discuss the importance of data science in their fields and the continued need for advancement.

Confirmed Speakers

Mahyar Fazlyab: University of Pennsylvania

Fernando Gama: University of Pennsylvania

Jingbo Liu: MIT Institute for Data, Systems, and Society (IDSS)

Vidya Muthukumar: University of California, Berkeley

Santiago Paternain: University of Pennsylvania

Matteo Sesia: Stanford University

Kaizheng Wang: Princeton University

Ashia Wilson: Microsoft Research, New England

Ashwin Pananjady: University Of California, Berkeley


TimeSpeakerAffiliationTitle of Presentation

Tuesday Feb 18

3:00 pm Kaizheng WangPrinceton UniversityLatent variable models: spectral methods and non-convex optimization

Thursday Feb 20

9:00 amMahyar FazlyabUniversity of Pennsylvania Safe Deep Learning: A Robust Control Approach
10:00 amVidya MuthukumarUniversity of California, BerkeleyFundamental perspectives on machine learning: Strategic agents and contemporary models
11:00 amAshia WilsonMicrosoft Research, New EnglandVariational Perspectives on Machine Learning: Algorithms, Inference, and Fairness
12:00 pmJingbo LiuMIT Institute for Data, Systems, and Society (IDSS)Continuous limits in large systems and statistical inference
2:00 pmMatteo SesiaStanford UniversityGene hunting with knockoffs
3:00 pmSantiago PaternainUniversity of PennsylvaniaConstrained Learning for Dynamical Systems
4:00 pmFernando GamaUniversity of PennsylvaniaGraph Neural Networks in Collaborative Intelligent Systems

Tuesday Mar 17

12:00 pmAshwin PananjadyUniversity of California Berkeley Statistics meets computation: Trade-offs between interpretability and flexibility