ACTIVITIES
In 2023, I co-organized Cornell's interdepartmental Causal Reading Group, a student-led discussion group on causality and causal inference. I co-developed CS 6006: Succeeding in the Graduate Environment, the first-year PhD seminar at Cornell Computer Science. With students at Cornell, MIT, and NJIT, I co-organized the 2024 NYC meetup for the Learning on Graphs Conference, Learning Meets Geometry, Graphs, and Networks. I am a student leader for the PhD admissions and recruitment process at Cornell Tech.
PEER REVIEW
I have served as a referee for the following venues: [Computing] International Conference on Artificial Intelligence and Statistics (AISTATS); Association for Computational Linguistics (ACL) Rolling Review; ICML Workshop on Structured Probabilistic Inference & Generative Modeling (SPIGM); NeurIPS Women in Machine Learning Workshop (WiML). [Life sciences] Communications Biology (Nature Portfolio); Bioinformatics (Oxford Academic); ACS Infectious Diseases (American Chemical Society).
PRIOR WORK
As a master's student researcher at Penn Engineering, I used machine learning to investigate the physicochemical properties and therapeutic potential of antimicrobial peptides. My master's research was supported by the University of Pennsylvania's GAPSA-Provost Fellowship for Interdisciplinary Innovation and the Reproducible Research Fellowship, funded by the Open Knowledge Foundation and Alfred P. Sloan Foundation.
Prior to this, I was a research assistant in various clinical and experimental biology labs. As an experimentalist, I helped develop molecular diagnostics for neglected tropical diseases in academia and for viral pathogens in industry.
CONTACT
Preferred contact: In general, I can be reached through LinkedIn.
Pronouns: they / them.
If you are new to non-binary pronouns, here are some examples for how to use them in a grammatical way from Merriam Webster, the MLA Style Guide, and the APA Style Guide. ☺
echo @ | sed 's/^/maasch/' | sed 's/$/cs.cornell.edu/'
|