About MeI started PhD studies in computer science at Cornell University in August 2019. I have broad interests in theoretical computer science, among them causality and algorithmic game theory.
Getting in touchEmail me at sp2473 "at" cornell.edu, or ping me on Twitter (@spencerjpeters).
Older thoughts may be found in the archives.
I'm currently (Fall 2019) working on a project with Joseph Halpern on extending the structural causal model (SCM) framework to continuous time. Look out for updates!
Summer 2019 I was a quantitative research intern at Jane Street Capital. Summer 2018 and spring 2019 I was a research intern in Microsoft's Quantum Architectures and Computing (QuArC) group. I worked on finite-element solvers, a surface roughness generation package, and some computational quantum transport studies.
In undergrad I was involved in a number of quite different research projects, including a computational biology capstone course project on improving phasing algorithms with Walter Ruzzo that was taken up by two masters' students, and an automated microscopy project with David Cobden of the UW Nanodevice Lab.
TeachingI'm currently (Fall 2019) a head TA for CS 2800 (Discrete Structures).
What I'm Reading
- The Theory of Hybrid Automata, Henzinger 2000
- A Modification of the Halpern-Pearl Definition of Causality, Halpern 2015
- From Deterministic ODEs to Dynamic Structural Causal Models, Rubinstein et al. 2016
- Beyond Structural Causal Models: Causal Constraints Models, Blom et al. 2018
- Counterfactual Resimulation for Causal Analysis of Rule-Based Models, Fontana et al. 2018
- Bounded memory and biases in information processing, Andrea Wilson 2014
- From random differential equations to structural causal models, Bongers and Mooij 2018
- Abstracting Causal Models, Beckers and Halpern 2019