Please complete the CAPTCHA to continue
A concise factual answer block for searchers comparing this professional profile.
David Reber is listed as AI Safety, LLM Interpretability PhD student at University of Chicago at University of Chicago, based in Chicago, Illinois, United States. AeroLeads shows a matched LinkedIn profile for David Reber.
David Reber previously worked as PHD Student at University Of Chicago and PHD Student at Columbia Engineering. David Reber holds Doctor Of Philosophy - Phd, Computer Science from University Of Chicago.
This section adds company-level context without repeating David Reber's masked contact details.
Review company-level records connected to David Reber before choosing the right outreach path.
I'm a second-year CS PhD student at UChicago developing causal evaluations for LLM interpretability and alignment under Victor Veitch.
Company context helps verify the profile and gives searchers a useful next step.
A career timeline built from the work history available for this profile.
My research concentrates on AI safety, striving to create reliable, robust, and beneficial AI systems. My primary focus is investigating the advantages of model-agnostic, context-specific explainability in large-language models under the guidance of Victor Veitch.
New York City Metropolitan Area
Visited Elias Bareinboim, studying cyclic causality.
Explored theoretical extensions of Cohen/Hutter’s pessimistic ask-for-help RL agent and coded practical demonstrations of pessimistic agents, under guidance of Michael CohenImplemented fail-fast research strategy and keeping rest of team up to date, so we could pivot to each other’s projects quickly if necessary while producing as many MVPs as possible in our 4-month window
Provo, Utah, United States
Directly mentor 4 undergraduate mathematics students over 3 separate research directions. Responsible for brainstorming research directions, adapting to student’s abilities and progress, verifying results and guiding the writing process. Currently preparing 3 research papers for publication: 1. Time-Delays, Switched Systems, and the P-Radius, 2. Nonlinear Extensions of Linear Stability Methods, and 3. Time-Delayed ML Optimizers
Provo, Utah Area
Primary ML engineer on several projects, collaborating directly with ME/EE/Business teams to turn high-level ideas into working prototypes and ultimately production-ready code. Projects ranged from predicting analytes in raw spectrometer data, to using both traditional and neural network computer vision techniques to trace veins and locate medical anomalies in images. All stages of ML pipeline: data cleaning, outlier rejection, statistical modelling, deep learning on AWS. Successfully identified product-critical generalization failures and took steps to measure and mitigate using explicit basis normalization, error modeling, clustering/manifold learning, and autoencoders. Generated technical reports and presented products to key investors and stakeholders
Provo, Utah Area
Successfully identified 288 failing freshmen students out of 459, halfway through the semester. Regularly created PowerPoint presentations for product discussions with 6 groups of stakeholders.
Published a mathematics paper with significant contributions to the field: https://iopscience.iop.org/article/10.1088/1361-6544/ab7728/pdf
Provo, Utah Area
Collaborated with mechanical engineering researchers to design robots that are safe tooperate around humans, using dynamical network analysis. Conducted extensive numerics in Python, leading to rigorous mathematical analysis.
Albuquerque, New Mexico Area
Built unit testing in Python, and performed mathematical analysis of various PDE solvers.
Activities and Societies: I'm researching explainability of large-language models, motivated by concerns of AGI alignment. Recently, I've.
Activities and Societies: Research centered on cyclic causality. Ended up transferring my PhD to the University of Chicago to work.
Quick answers generated from the profile data available on this page.
David Reber works for University of Chicago.
David Reber is listed as AI Safety, LLM Interpretability PhD student at University of Chicago at University of Chicago.
David Reber is based in Chicago, Illinois, United States while working with University of Chicago.
David Reber has worked for University Of Chicago, Columbia Engineering, Ai Safety Camp, In Collaboration With Brigham Young University, and Medic.Life.
You can use AeroLeads to view verified contact signals for David Reber at University of Chicago, including work email, phone, and LinkedIn data when available.
David Reber holds Doctor Of Philosophy - Phd, Computer Science from University Of Chicago.
Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.
Start free trial Search contactsCheck these profiles if this is not the David Reber you were looking for.
View similar profiles
