Sotabase

Career

· Assistant Professor, Department of Information Science, Cornell Tech2025–
· Assistant Professor, Department of Information Science, Cornell University2022–2025
· Postdoctoral Researcher, Machine Learning and Statistics Group, Microsoft Research New England2021–2022
· M.S., Institute for Computational & Mathematical Engineering, Stanford University2020–2021
· Quantitative Analyst Intern, Economics Team, Google2019–2019
· Data Scientist Intern, Artificial Intelligence & Research Group, Microsoft2018–2019
· Data Science Intern, Events Team, Facebook2016–2016
· Ph.D., Institute for Computational & Mathematical Engineering, Stanford University2016–2021
· Associate Analyst, Antitrust & Competition Group, NERA Economic Consulting2015–2016
· Research Assistant, Antitrust & Competition Group, NERA Economic Consulting2014–2015
· Intern, Antitrust & Competition Group, NERA Economic Consulting2013–2013
· S.B., Mathematics with Computer Science, Minor in Economics, Massachusetts Institute of Technology2010–2014

Publications (25)

Racial disparities in automated speech recognition
Proceedings of the National Academy of Sciences of the United States of America · 2020
683
cited
Preventing cytokine storm syndrome in COVID-19 using α-1 adrenergic receptor antagonists.
Journal of Clinical Investigation · 2020
101
cited
Careless Whisper: Speech-to-Text Hallucination Harms
Conference on Fairness, Accountability and Transparency · 2024
92
cited
Federated causal inference in heterogeneous observational data
Statistics in Medicine · 2021
59
cited
Alpha-1 adrenergic receptor antagonists to prevent hyperinflammation and death from lower respiratory tract infection
eLife · 2020
24
cited
Augmented Datasheets for Speech Datasets and Ethical Decision-Making
Conference on Fairness, Accountability and Transparency · 2023
24
cited
Alpha-1 adrenergic receptor antagonists for preventing acute respiratory distress syndrome and death from cytokine storm syndrome.
arXiv.org · 2020
19
cited
"Don't Forget the Teachers": Towards an Educator-Centered Understanding of Harms from Large Language Models in Education
International Conference on Human Factors in Computing Systems · 2025
19
cited
Targeting the catecholamine-cytokine axis to prevent SARS-CoV-2 cytokine storm syndrome
medRxiv · 2020
19
cited
The Association Between Alpha-1 Adrenergic Receptor Antagonists and In-Hospital Mortality from COVID-19
medRxiv · 2020
16
cited
Auditing Cross-Cultural Consistency of Human-Annotated Labels for Recommendation Systems
Conference on Fairness, Accountability and Transparency · 2023
9
cited
Synthetic Data Generation for Economists
arXiv.org · 2020
8
cited
Ten Rules for Conducting Retrospective Pharmacoepidemiological Analyses: Example COVID-19 Study
Frontiers in Pharmacology · 2020
6
cited
Trucks Don’t Mean Trump: Diagnosing Human Error in Image Analysis
Conference on Fairness, Accountability and Transparency · 2022
6
cited
A how-to guide for conducting retrospective analyses: example COVID-19 study
2020
4
cited
A game theoretic setting of capitation versus fee-for-service payment systems
PLoS ONE · 2019
3
cited
Author response: Alpha-1 adrenergic receptor antagonists to prevent hyperinflammation and death from lower respiratory tract infection
2021
2
cited
Addressing Pitfalls in Auditing Practices of Automatic Speech Recognition Technologies: A Case Study of People with Aphasia
arXiv.org · 2025
1
cited
Alpha-1 adrenergic receptor antagonists prevent acute respiratory distress syndrome and death: implications for Coronavirus disease 2019
2020
1
cited
Analyzing Dialectical Biases in LLMs for Knowledge and Reasoning Benchmarks
Conference on Empirical Methods in Natural Language Processing · 2025
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Allison Koenecke | Researcher Profile | Sotabase | Sotabase