Blogs and News
Word Count
June 4, 2025
Automated failure mode discovery and intervention for the inference-time paradigm
Robust real-time adversarial monitoring enables inference-time compute paradigms to be rapidly adopted in critical domains like military and healthcare applications.
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June 4, 2025
Multi-LLM Agent Meta-Benchmarking Method
This is an exerpt from work that Michael Rudow and I did together: https://github.com/jAMackathon/Multi-Agent-Meta-Benchmarking-Method/tree/main
265
July 2, 2024
Bridging Gaps in Research and Public Health: CSTE Conference Takeaways
A few weeks ago, I had the opportunity to attend the Council of State and Territorial Epidemiologists (CSTE) Annual Conference right here in Pittsburgh! Getting involved with CSTE this past year, especially through the forecasting and modeling workgroup calls, has been incredibly rewarding, and it was great to see some familiar faces in person.
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July 2, 2024
Information on Moving to Nairobi
I arrived in Nairobi last week to start my summer internship with the AI team at IBM Research! I’m enjoying my project, and the team has a welcoming culture.
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May 16, 2024
Comments on CMS proposed rule (CMS-1808-P)
The CMS proposed rule will impact how data related to public health will be collected. Two standout quotes related to monitoring large-scale systems are,
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April 30, 2024
Teaching Hands-On/Practical ML Classes
This semester, I had the opportunity to put together two practical, active learning lectures related to AI x Public Health!
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April 25, 2024
Takeaways from the first InsightNet Meeting
Last week, I attended the first annual InsightNet conference in North Carolina!
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April 25, 2024
Getting Started with Public Health Monitoring Literature
Interesting Papers, Talks, Videos Related to Public Health Monitoring
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April 20, 2024
Public Health Opportunities
If you are a CS/AI/ML student interested in getting exposure either with applying your methods to public health or are interested in developing methods for public health applications these opportunities/insights may be interesting to you:
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April 10, 2024
AutoPrompt: Improving GPT Responses Using Personas and Synthetic Documents
Using Synthetic Persona Generation to Improve Prompt Responses
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November 1, 2020
Initial Impressions of Epidemic Forecasting
Epidemic forecasting, by its very nature, is a direct application of computer science, math, and biology.
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September 24, 2020
Shiftview, GPT2 for Moral Reframing
Deploying the Shiftview repo on Google Cloud creates a website that highlights my work on ShiftView, an ideological transformer based on the moral foundations theory. You can find a light demo of the work in the sidebar. Please be patient as the translations require time to generate. Additionally, because some of the data is uncensored, there may be cursing and confusing speech. I am not repsonsible for the translations generated. In its current state, ShiftView is simply a guide for what is possible with automated moral reframing.
603
June 30, 2020
Fulbright 2019-2020 Research
The following are from the bitsvbytes website that I could salvage - while this project was put on hiatus during COVID, I learned a lot about designing public health interventions using a data-driven approach!
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June 30, 2020
Fulbright 2019-2020 Recap & Notes
In 2019-2020, I was a Fulbright research student in Singapore. I kept a weekly blog (formerly called bitsvbytes because I was using ML techniques to reduce mosquito bites) that turned into a daily blog at the start of COVID. Unfortunately, I kept my blog (with all my writing, pictures, models, and demos for Buzznet) on Heroku (with a Heroku database) with the hope of eventually restarting the service once I could shrink the footprint (and the cost) of hosting this resource.
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