I’m Catherine Ray, a researcher training to be a mathematician. My background is mostly in scientific simulation, autonomous robotics, and medical technology.

I graduated from George Mason University at 16 with a B.S. in Computational Physics, and accepted the Thiel Fellowship in 2014 to study mathematics full time under my mentor, Edward Frenkel. I graduated with my Master’s degree from UChicago working with Peter May. I am currently at Northwestern for my PhD working under Yifeng Liu and Paul Goerss.

Here is my CV.

Here is a summary of my past and present research.

tl;dr My technical background is mainly in robotics (machine learning/SLAM), and computational physics.

My first projects in robotics were in 2011: a dinky hexapod that autonomously followed people around, and Rubik’s cube solving robot.

In Spring 2012, I became interested in physical examples of nonlinear systems due to a research project at the Chemistry and Physics Department of Mary Baldwin College, and modeled the resistant switching behavior of flexible TiO2.

Summer 2012, the Positronics Division of the George Washington University Robotics Lab took me under their wing as an intern. Our team smoothed joint movement of the Willow Garage Personal Robot 2 (PR2), alongside improving load equalization (below). I programmed the PR2 to autonomously “learn” to place objects in holes with the corresponding shape (using only past motor position commands and the finger gripper sensors).

On the side, fascinated by the phenomena of producing argon plasma glow via the introduction of an RF source at 2.45GHz to a conductive cavity, I modeled the modes of conductive polyhedra.

After transferring to GMU Fall 2012, I extended their simulation for predicting the material properties of compound materials and explored algorithms of AI chess players.

Spring 2013, an interest in contextual machine learning led me to write an automated contextual analysis program that learned the grammar rules of compressed Braille from partially translated text. I used Braille as a test language, but this is a framework to automate the decoding of any partially understood (ancient) language by creating probabilistic dictionaries.

Summer 2013, I interned as a software engineer at Cloudera. During my time there, I developed a consumer download metrics tracking system for internal purposes.

Fall 2013, I played with SLAM and motion planning on the ARDrone. For HackMIT 2013, I collaborated with Kartik Talwar and Spencer Hewett to create a Google Glass application that calculates the human pulse from the video feed.

In late November 2013, I made the rookie mistake of trying to prove the Collatz conjecture (mainly using the prime factor relations within the number sequences and finding a few neat recurrence relations).

Early 2014, I briefly devoted my time to designing a keychain-sized food scanner that detects gluten and other common food allergen proteins. From late 2013 to mid 2014, I dipped my toes into audio processing by automating the collection and classification of lab-animal vocalizations.

Summer 2013-Spring 2014, I explored the improvement of mobility devices. A nonprovisional patent was submitted in Dec 2014 for the 5 pressure sore relief mechanisms that grew out of this.

Summer 2014, I became interested in neuroprosthetics. I started with the software side (convergence analysis of common decoder algorithms), and transitioned into playing with the hardware side (optical recording methods).

In autumn 2014, I began to teach myself algebraic topology full-time. I currently very interested in trying to understand the simplest constructions of height 2 and height 3 cohomology theories, and analogues of the J-homomorphism for height 2.

Early 2015, I began mentoring Paul Rosa on mobility assistance for those with ALS and spinal chord injuries. Here is a video of him showing off the eye control feature.

In January 2015, I was a visiting researcher at the Santa Fe Institute, and gave a seminar on Simplifying Multiscale Modeling. I still think about applications of topology to multi-scale modeling, and occasionally venture to consider modeling complex systems of a biological nature with an eye toward immunotherapy and neuroscience.

In April 2015, I was a visiting researcher at the Max Planck Insitut für Matematik in Bonn, Germany, where I learned how to wield a few spectral sequences and was exposed to equivariant homotopy theory. During my last week there I attended the Homotopy theory, manifolds, and field theories Introductory School. On my way back, I stopped by the UChicago Midwest Topology Seminar, and the p-adic methods in Number Theory Conference. Instead of continuing to list each conference I’ve been to here, I refer the reader to my CV.

I have mentored Tali Khan, Molly Wolfson, and Charlie Hudgins in the UChicago REU, on fractal geometry, general relativity, and Noether’s theorem, respectively.

Recently I have been thinking: “what the heck is height, really?”, answering this question by discovering families of curves whose formal group laws have height $n$ (and I have been thinking about this for every $n$), and further, how these families relate to each other, and how knowledge of these families can help us better understand and simplify calculations of various localizations of the homotopy groups of spheres.

A few questions at the front of my mind:

- How can we use varieties whose formal group laws are Lubin-Tate to further our understanding of the stable homotopy groups of spheres? Can we generalize the $K(1)$ local story with $L$-functions of Moore spaces to a $K(n)$ local story with $L$-functions of other things?
- How many techniques from Lie theory over $R$ and $C$ carry over to the formal groups story? What about Coppersmith theory?

A few questions at the back of my mind:

- How can we apply topological techniques to improve multiscale modeling?
- What are the underlying semantics of a reasoning tool for computer-aided scientific research?
- How can we build a proof writing tool which automatically fills in proof outlines?

An afternote on my hobbies: I paint, rock climb, write short stories, speak intermediate German, beginners Russian and Spanish, embarrassingly “robotic” American Sign Language, read braille, play trombone and ukelele.

Curiosity is welcome: **fractalcows@gmail.com**.

I just wanna say that like this blog so much, and you remind me of the movie called: Proof 😉

Agreed. I don’t comment but visit and enjoy regularly.

Edward Frenkel was your mentor! WOW!

Hi

Good Morning…

Best of Luck for Future Work…

If you will come to India ..I will meet you…

Nice work

Hi Rin, just wanted to say how much you inspire to help young people like math. Keep it up. 🙂