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Lightning Talks

Saturday, April 18, 2026 · UVA School of Data Science

Ten eight-minute lightning talks were presented across the second day of the conference.

From Prompts to Posteriors: Agentic Bayesian A/B Testing with PyMC
Sanjit Paliwal, Principal Data Scientist, Verizon

Lessons Learned Writing Unit Tests for Chatbots
Dean Wampler, IBM Technical Representative to The AI Alliance

Calibrated Evaluation of LLM-Sourced Synthetic Data for Imbalanced Text Classification
Vikram Kamat, Associate Teaching Professor, Department of Mathematics & Statistics, Villanova University

Agents for Secondary Data Extraction
Christopher N. Eichelberger, CDO, Castle Hill Gaming

Sometimes You Just Need a Bit of Logic
Nathan Wan, Graduate Researcher @Spatial AI Lab & MSDS @UVA School of Data Science
Nathan Todd, Student, University of Virginia
Hudson Noyes, Student, University of Virginia
Jackson Kennedy, Student, University of Virginia

TransfersAI: Automating Credit Evaluation Behind Every Transfer Commitment
Neel Davuluri, MS Data Science Student, University of Virginia

Vector Databases: Scaling High‑Performance Neural Search for Production AI Apps
Kavya Tolety, Software Engineer at IFEES Inc, MS in CS

Why I Still Have a Feature Engineering Pipeline in 2026
Scott Stults, Relevance Engineer, OpenSource Connections

Translation Loss in LLMs
Harsh Sharma, Student, University of Southern California

Read Burning Down the SDLC: The AI Software Factory
Owen Zanzal, Cloud & Agentic Ops Engineer at Shoplogix