AMLC Lightning Talks Released

Ten more talks added to an already-packed conference schedule

The schedule for lightning talks at the 2026 Applied Machine Learning Conference is now available! Lightning talks are fast-paced, eight-minute talks held back-to-back. We’re excited to add ten more compelling talks to an already-packed conference program:

• 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, Nathan Todd, Hudson Noyes, and Jackson Kennedy, University of Virginia School of Data Science
  

• TransfersAI: Automating Credit Evaluation Behind Every Transfer Commitment

  Neel Davuluri, University of Virginia School of Data Science
  

• Vector Databases: Scaling High‑Performance Neural Search for Production AI Apps

  Kavya Tolety, Software Engineer at IFEES Inc.
  

• Why I Still Have a Feature Engineering Pipeline in 2026

  Scott Stults, Relevance Engineer, OpenSource Connections
  

• Translation Loss in LLMs

  Harsh Sharma, University of Southern California
  

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

All lightning talks will be held this Saturday, April 18 at the University of Virginia School of Data Science. You will need a ticket that includes Saturday to attend (Full Conference or Saturday Only). Get yours today!

(Already have a Friday Only ticket and want to attend the lightning talks? Hit reply to this message and we’ll help you upgrade to a Full Conference pass.)

We’re excited to see everyone later this week!

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P.S. We’d be grateful if you could share the event with friends, colleagues, and others in your network who may be interested in attending! We do our best to get the word out about the AMLC, but the #1 way attendees find out about the event is still by word of mouth from people they know.