The Computing and Mathematical Sciences PhD

1. The Computing and Mathematical Sciences PhD Goal: An introduction to, advertisement for, & call for feedback on a new PhD program

2. Why start a new PhD program?

3. We are in the midst of an unprecedented convergence of disciplines Math Electrical Engineering Computer Science Control Medicine Statistics Psychology Operations Research Economics Biology Neuroscience

4. …it’s harder & harder to tell faculty, postdocs, and students apart Omer Tamuz Math PhD, CS Postdoc, Joining Caltech as faculty in Economics Na (Lina) Li PhD work involved Economics, Control, Energy, and Physiology

5. …even Nobel prizes are starting to go increasingly to this intersection 2012 Nobel Prize in Economics awarded for “the theory of stable allocations and the practice of market design”  recipients are very active in Algorithmic Game Theory, within computer science / electrical engineering 2013 Nobel Prize in Chemistry awarded for “the development of multiscale models for complex systems”  hailed as an award for computer science

6. We are in the midst of an unprecedented convergence of disciplines Math Electrical Engineering Computer Science Control Medicine Statistics Psychology Operations Research Economics Biology Neuroscience

7. Probability Optimization From this convergence, anew core has emerged Algorithms Learning Games & Markets Math Networks Electrical Engineering Computer Science Control Medicine Statistics Psychology Operations Research Economics Biology Neuroscience

8. Probability Optimization The core is crucial for progress in traditional areas Algorithms Learning Games & Markets Math Networks Electrical Engineering Computer Science Control Medicine Statistics Psychology Operations Research Economics Biology Neuroscience

9. Probability Optimization …and is the foundation for many emerging fields Algorithms Learning Complex Systems * Analytics Games & Markets Networks Bioinformatics Big Data Biomolecular Circuits Data science Smart Grid/City/* Vision Quantum Information Privacy Algorithmic Economics Network Science

10. Probability Optimization Algorithms Learning Games & Markets EE / CS / Control / … Networks Traditional programs do not teach this core We need something new

11. Probability Optimization Algorithms A key driver for research and education at Caltech Learning Games & Markets Networks

12. Probability Optimization Algorithms A key driver for research and education at Caltech Learning Games & Markets Networks A new PhD program The core is dominating recent hiring Adam Wierman Katrina Ligett Matt Elliot Omer Tamuz Joel TroppVenkatChandrasekaranYisong Yue Thomas Vidick

13. Probability Optimization The Computing & Mathematical Sciences (CMS) PhD Algorithms Learning Core: Unique, interdisciplinary courses on Breadth: Sample a few application areas Depth: Choose a “focus” application area to study Games & Markets Networks Faculty involvement: James Beck, ShukiBruck, Oscar Bruno, Joel Burdick, VenkatChandrasekaran, Mani Chandy, Mathieu Desbrun, John Doyle, Federico Echenique, Michelle Effros, Matthew Elliott, Ben Gillen, BabakHassibi, John Ledyard, Katrina Ligett, Steven Low, Richard Murray, HoumanOwhadi, Pietro Perona, Leonard Schulman, Peter Schroeder, Matt Shum, Omer Tamuz, Joel Tropp, Chris Umans, P. P. Vaidyanathan, Thomas Vidick, Adam Wierman, Yisong Yue. ...have your best undergrads apply!