Mackenzie Noon
Ph.D. candidate in the Reilly Lab, Department of Genetics, Yale
University.
me@mackenzienoon.com |
CV (pdf) |
One-page resume |
GitHub |
LinkedIn |
Hugging Face
Publications
- Bypassing current biosecurity screens with AI-designed proteins, and
closing the gap with edge-AI functional screening.
Noon M, Oualline G. Apart Research AIxBio Hackathon,
2026.
[writeup]
- Global Evaluation of Congenital Heart Disease-Associated Non-Coding
Variants. Peña-Martínez EG, Sharma S, Medina-Feliciano JG, et al.,
Noon M, et al., Bhimsaria D, Rodríguez-Martínez JA.
bioRxiv, 2025.
[doi]
[preprint]
- Identifying non-coding variant effects at scale via machine learning
models of cis-regulatory reporter assays. Butts JC, Rong S, Gosai SJ,
Castro RI, Noon M, Adeniran K, Ghosh R, Sabeti PC,
Tewhey R, Reilly SK. bioRxiv, 2025.
[doi]
[preprint]
- Taming the transposon: H3K9me3 turns foe to friend in human
development. Chitrakar A, Noon M, Xiao AZ.
Cell Stem Cell, 2022.
[doi]
[published]
- A mouse-specific retrotransposon drives a conserved Cdk2ap1 isoform
essential for development. Modzelewski AJ, Shao W, Chen J, et al.,
Noon M, et al., Risso D, He L. Cell, 2021.
[doi]
[published]
[preprint]
Posters
- Common Mechanism in a Box: point-of-synthesis DNA screening.
Noon M, Alexanian T. CBAI AIxBiosecurity Research
Fellowship, 2026.
[poster]
- Capiti: Improving Biosecurity Screens With Edge AI.
Noon M, Oualline G. CyberBio 2026: First International
Workshop on Cyberbiosecurity, co-located with IEEE S&P, 2026.
[poster]
- Development of single-cell massively parallel reporter assays for
measurement of disease-associated variant effects.
Noon M, Gilbertson EN, Reilly SK. Boehringer Emerging
Scientist Talent (BEST) Program, 2025.
[poster]
Software
commec-gui — Offline kiosk and LAN web interface,
merged into IBBIS's Common Mechanism.
commec-in-a-box — Pre-imaged mini-PC appliance that
runs the Common Mechanism on site, built and distributed by a
reproducible image-minting pipeline.
scMPRAforge — Python package for simulating,
designing, and testing single-cell massively parallel reporter assays.
Manuscript in preparation; release pending.
tensorzinb-plusplus — Fork of TensorZINB adding
current TensorFlow support, sparse input matrices, and sample-weighted
zero-inflated negative binomial regression.
Notes
- MPRA power analysis (pdf)
— lecture notes on error control, p-values, and simulation-based
power for reporter assays. August 2026.
Last updated August 2026.