I’m Kathryn, a sixth-year Ph.D. candidate studying low-level computer vision with Prof. Todd Zickler. I have been working toward a doctoral degree in Applied Mathematics (AM) at Harvard SEAS as a Draper Laboratory Fellow since September 2014. I received an MS in AM from Harvard in November 2016, and a BS in AM from UCLA in June 2014. I will be participating in the AI Residency at X (formerly Google X) this summer.

Let’s chat! Email: **kathrynheal@g.harvard.edu**

###### Teaching Experience

I was a teaching fellow for ENGSCI 150 (Introduction to Probability for Engineers) at Harvard in the spring of 2015. I am honored to have received a Certificate of Excellence in Teaching, based on student evaluations.

###### Programming Languages

(in order of preference)

- Python
- TensorFlow
- MATLAB
- Mathematica
- Magma
- LaTeX
- C++
- Java

###### Design Languages

- HTML/CSS
- Adobe Illustrator and Photoshop
- Blender

## News

- Graphics Colloquium at MIT CSAIL, Oct 2019. Gave a talk on current work on shape from shading.
- Workshop on Real Algebraic Geometry at ICERM, October 2018, presenting a poster titled “Representing the Space of Visual Depth Ambiguities as a Real Affine Variety”.
- S3PM (Shape, Solid, Structure & Physical Modeling) at UC Berkeley, June 2017. Received a NSF student travel award.
- ISIT (Information Theory) at RWTH Aachen University in Germany, June 2017, giving a talk titled
*The Number of Independent Sets in Hexagonal Graphs*. Slides from my talk. - SIAM-AG (Algebraic Geometry) at Georgia Tech, July 2017, presenting a poster titled
*Induced Probability Measures on Persistence Diagrams*.

## Publications

You may notice some diversity in my work — I wear a lot of hats!

**Heal K**, Wang J, Gortler S, Zickler T.*A Lighting-Invariant Point Processor for Shading*; (In review). 2019.- Ding J, Shahrampour S,
**Heal K**, and Tarokh V.*Analysis of Multi-State Autoregressive Models*; IEEE Transactions on Signal Processing. 2018. - Deng Z, Ding J,
**Heal K**, Tarokh V.*The Number of Independent Sets in Hexagonal Graphs*; 2017 IEEE International Symposium on Information Theory (ISIT). 2017. - Enyioha C, Magnusson S,
**Heal K**, Li N, Fischione C, Tarokh V.*On Variability of Renewable Energy and Online Power Allocation*; IEEE Transactions on Power Systems. 2017. - Enyioha C, Magnusson S,
**Heal K**, Li N, Fischione C, Tarokh V.*Robustness Analysis for an Online Decentralized Descent Power Allocation Algorithm*. 2016 Workshop on Information Theory and its Application. 2016. - Magnusson S,
**Heal K**, Enyioha C, Li N, Fischione C, Tarokh V.*Convergence of Limited Communications Gradient Methods*, in American Control Conference. Boston, MA ; 2016. - Magnusson S, Enyioha C,
**Heal K**, Li N, Fischione C, Tarokh V.*Distributed Resource Allocation with Limited Bandwidth Communications for Power Networks*, in Conference on Information Sciences and Systems. Princeton, NJ ; 2016. - Gilles J,
**Heal K**.*A parameterless scale-space approach to find meaningful modes in histograms – application to image and spectrum segmentation*. International Journal of Wavelets, Multiresolution and Information Processing. 2014.