I am a Ph.D. student in theoretical computer science at Harvard University, advised by Madhu Sudan. In 2022, I graduated from Columbia University, where I double-majored in Mathematics and Computer Science and was advised by Xi Chen. My research is supported by an NDSEG Fellowship.

I am interested in theoretical computer science and probability theory. I like to think about problems related to property testing, error correction, probabilistic network models, and stochastic processes.

My email is cmarcussen-at-g-dot-harvard-dot-edu.

**Errors are Robustly Tamed in Cumulative Knowledge Processes** [pdf]. *COLT 2024.*

Anna Brandenberger, Cassandra Marcussen, Elchanan Mossel, Madhu Sudan.

**Uniformity Testing over Hypergrids with Subcube Conditioning** [pdf]. *SODA 2024.*

Xi Chen, Cassandra Marcussen.

**Uniform scrambles on graphs** [pdf]. *Australasian Journal of Combinatorics, 2023.*

L. Cenek, L. Ferguson, E. Gebre, C. Marcussen, J. Meintjes, R. Morrison, L. Ostermeyer, S. Ramakrishna.

**Scramble number and tree-cut decompositions** [pdf].

L. Cenek, L. Ferguson, E. Gebre, C. Marcussen, J. Meintjes, R. Morrison, L. Ostermeyer, S. Ramakrishna, B. Weber.

**Bounds on higher graph gonality** [pdf]. *Presented at the Young Mathematicians Conference, 2021.*

L. Cenek, L. Ferguson, E. Gebre, C. Marcussen, J. Meintjes, R. Morrison, L. Ostermeyer, S. Ramakrishna.

**Data Preparation of the nuMoM2b Dataset** [pdf]. *Technical report.*

A. Goretsky, A. Dmitrienko, I. Tang, N. Lari, O. Kunhardt, R. Rashid Khan, C. Marcussen, A. Catto, D. Mallia, A. Leshchenko, A. Lin, A. Raja, A. Salleb-Aouissi, Itsik Pe'er, R. Wapner, C. Gyamfi-Bannerman. *(Non-alphabetical author ordering)*

Authors are ordered alphabetically unless otherwise indicated.

At Harvard:

- Teaching Fellow for Essential Coding Theory (CS 229r) taught by Madhu Sudan (Fall 2023)

At Columbia, I was a Teaching Assistant for the following courses:

- Advanced Algorithms (COMS 4232) taught by Alexandr Andoni (Spring 2022)
- Introduction to Cryptography (COMS 4261) taught by Tal Malkin (Spring 2022)
- Analysis of Algorithms I (CSOR 4251) taught by Xi Chen (Summer 2021) and Alexandr Andoni (Fall 2021)
- Artificial Intelligence (COMS 4701) taught by Ansaf Salleb-Aouissi (Spring 2021)
- Discrete Mathematics: Combinatorics and Graph Theory (COMS 3203) taught by Ansaf Salleb-Aouissi (Fall 2020)

Other:

- TA for the PCMI Undergraduate Summer School on Quantum Computation (Summer 2023)
- I lectured and served as a TA for the Undergraduate Math Society's Introduction to Proofs workshop (Fall 2020, Fall 2021)

- NDSEG Fellowship (2024)
- NSF GRFP Fellowship (2024, declined in favor of NDSEG)
- Magna cum laude, Columbia College (2022)
- John Jay Scholar – Columbia University Scholars Program (2018 - 2022)
- Verizon App Challenge: Best in Nation (2017)

- I currently organize TGINF, a theory seminar for graduate students and postdocs at Harvard.
- Columbia Undergraduate Learning Seminar in Theoretical Computer Science: Founder and Leader (Summer 2021 to Spring 2022)
- Organizer of Analysis of Boolean Functions and Property Testing group (Summer 2021)
- Organizer of Theorist's Toolkit group (Fall 2021)
- Organizer of High Dimensional Probability and Applications to CS group (Spring 2022)

- Columbia-Barnard Association for Women in Mathematics: Co-President (2021-2022)
- Organizer of Simple Random Walks reading group (Summer 2020)
- Organizer of Topology reading group (Summer 2021)

- Senior Thesis on Uniformity Testing over Hypergrids with Subcube Conditioning, advised by Xi Chen.
- SMALL REU in Mathematics at Williams College (Summer 2021)
- Research Assistant to Ansaf Salleb-Aouissi (January 2020 to August 2021)
- Independent Developer in the Microsoft Research Reinforcement Learning Open Source Fest (Summer 2020). Project: Parallelized Parsing in C++ for Vowpal Wabbit
- STEP Software Engineering Intern at Google (Summer 2020)
- AFE Software Engineering Intern at Amazon (Summer 2019)

- Axiom 1. Mathematical potential is equally present in different groups, irrespective of geographic, demographic, and economic boundaries.
- Axiom 2. Everyone can have joyful, meaningful, and empowering mathematical experiences.
- Axiom 3. Mathematics is a powerful, malleable tool that can be shaped and used differently by various communities to serve their needs.
- Axiom 4. Every student deserves to be treated with dignity and respect.