cv
Basics
| Name | Kendall A. Reid |
| Label | Ph.D. Student in Computer Science, Johns Hopkins University |
| kreid20@jh.edu | |
| Url | https://kreid415.github.io |
| Summary | I am interested in creating AI systems for scientific research in human genetics and genomics. Current models excel on well-defined problems but struggle when evidence is uncertain or contradictory. I aim to build systems that overcome these limitations, and to develop rigorous evaluations to ensure that their reasoning is transparent and conclusions can be trusted. By harnessing these models for human genetics, we can discover the mechanisms of disease and identify therapeutic targets. |
Education
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2026.09 - Present Baltimore, MD
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2024.09 - Present Baltimore, MD
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2021 - 2024 College Park, MD
Post-baccalaureate
University of Maryland
Biology and Chemistry
- Gen Chem I & II
- Orgo I & II
- Physics I
- Cell Bio
- Microbio
- Biochem
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2018.09 - 2019.05 New Brunswick, NJ
Post-baccalaureate
Rutgers University
Computer Science
- Intro to CS
- Data Structures
- Intro to AI
- Algorithms
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2013 - 2017 New Brunswick, NJ
B.A.
Rutgers University
Mathematics and Economics, summa cum laude
- Linear Algebra
- Linear Optimization
- Cryptography
- Intro to CS
- Differential Equations
- Mathematical Methods for Data Mining
- Combinatorics
- Number Theory
- Probability
- Real Analysis
- Cross Sectional Econometrics
- Time Series Econometrics
- Mathematical Reasoning
- Calc I, II, and III
- Micro and Macro Economics
Publications
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2026 Towards principled evaluation of single-cell perturbation prediction models
bioRxiv, Jul. 27, 2026
P. S. L. Schäfer, K. A. Reid, Z. Boldyga, E. D. Aksu, H. Hakem, and J. Saez-Rodriguez
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2026 A blended genome-exome polygenic risk scoring of ketamine response in patients with drug-resistant depression
Under review, JAMA Psychiatry, 2026
K. A. Reid, F. Goes
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2026 Burosumab treatment in an adult with FGF23-mediated hypophosphatemia due to cutaneous skeletal hypophosphatemia syndrome
Journal of the Endocrine Society 10(4): bvag040, 2026
L. L. Tosi, E. N. Rajah, A. P. Gillies, M. Kim, K. A. Reid, R. I. Gafni
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2025 Topology Matters: The Trade-off Between Wasserstein Critics and Discriminators in Single-Cell Data Integration
bioRxiv, Nov. 13, 2025 (version 3, May 5, 2026)
K. A. Reid, G. Stein-O'Brien, and E. Guven
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2025 Impact of an early body mass index maintenance intervention at ART initiation on diabetes risk: insights from a simulation study
Annals of Epidemiology, accepted, in press
P. Kasaie, Y. Zhao, E. Humes, L. Gerace, K. A. Reid, et al
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2025 Can we extract physics-like energies from generative protein diffusion models?
PRX Life (American Physical Society), accepted, in press
S. Sarma, H. Truscott, D. Xu, K. A. Reid, L.-S. Chu, J. Chen, J. J. Gray
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2024 Influence of sex and gender on musculoskeletal conditions and how they are reported
Journal of Bone and Joint Surgery (American Volume) 106(16): 1512–1519, 2024
L. L. Tosi, K. Templeton, A. M. Pennington, K. A. Reid, B. D. Boyan
Work
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2025.09 - 2026.09 Baltimore, MD
Senior Programmer Analyst
Johns Hopkins University, Biostatistics, and Neuroscience
- Designed and led a study of whether latent variable models isolate known gene programs in single-cell data. First author; manuscript in preparation.
- Led the computational biology for a companion study applying latent variable models to amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) to identify similarities and differences in disease pathology. Second author; manuscript in preparation.
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2024.09 - Present Baltimore, MD
M.S. Student, Bioinformatics
Johns Hopkins University
- Recruited a team of researchers from across the globe to investigate the discordance in metrics used to evaluate perturbation prediction models, resulting in a preprint. Second author; submission in progress.
- Designed a controlled comparison of Wasserstein critics and discriminators to study the tradeoff between removing batch effects and preserving biology in adversarial batch correction for single-cell data. First author; manuscript in preparation.
- Identified that computing energies along a protein diffusion model's reverse diffusion trajectory with trapezoidal integration is a discrete realization of the Stratonovich integral, contributing to a publication on protein energies in diffusion models.
- Built a blended genome-exome polygenic risk score for ketamine response in treatment-resistant depression, in collaboration with the Broad Institute. First author; under review.
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2024.06 - 2025.09 Baltimore, MD
Programmer Analyst
Johns Hopkins University, Department of Epidemiology
- Contributed to an agent-based simulation library for HIV population dynamics using Dask.
- Co-authored a study that used this library to forecast the effect of a BMI maintenance intervention on diabetes risk.
- Led the interpretability analysis for a study of virologic failure in people with HIV, investigating whether a linear Cox model and a nonlinear deep survival network identified the same influential risk factors. Third author; manuscript in preparation.
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2022.05 - 2024.06 Washington, DC
Research Assistant, Orthopedic Surgery
Children's National Hospital
- Directed longitudinal data collection for an industry-sponsored clinical trial in a rare skeletal dysplasia.
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2019.01 - 2021.01 San Francisco, CA
Co-Founder; Data Scientist, Computer Vision and Natural Language Processing
Productivity Industries
- Built the company's document-parsing system: multimodal models combining computer vision and natural language processing to predict the reading order of unstructured text in PDF documents.
- Built the continuous-integration infrastructure for training, evaluating, and deploying the models.
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2017.06 - 2018.07 Seattle, WA
Data Scientist, Computer Vision and Artificial Intelligence
Iunu
First Data Scientist at a small company. Built the team up to 6 data scientists and engineers.
- Built AI-based control systems for greenhouse temperature, water and light.
- Developed a deep learning pipeline that measured plant material in multispectral images and predicted yield from image time series.
- Trained convolutional networks to identify plant disease and alert growers prior to plant loss.
Awards
- 2025
Best Poster Award
Johns Hopkins Research Symposium on Engineering in Healthcare
- 2017.06
Henry Rutgers Scholar Award for outstanding research paper
Rutgers University
Awarded to select graduating seniors based on research excellence
- 2017.06
John C. Daniels award for outstanding achievement in economics
Rutgers University
Awarded to graduating economics majors for achievement both within and outside of the major
- 2017.06
Milton Friedman Distinguished Scholar
Rutgers University
Awarded to select graduating economics students based on achievement within the major
Skills
| Languages | |
| Python | |
| SQL |
| Machine learning | |
| PyTorch | |
| PyTorch Lightning | |
| TensorFlow | |
| Hugging Face | |
| scikit-learn | |
| OpenCV |
| Scientific computing | |
| NumPy | |
| pandas | |
| Dask | |
| scverse | |
| matplotlib | |
| seaborn | |
| VCFtools |
| Infrastructure | |
| Linux | |
| Git | |
| Docker | |
| SLURM | |
| Snakemake | |
| Nextflow | |
| GitHub Actions | |
| pytest |
Languages
| English | |
| Fluent |