About us
DataPhilly is a community run group for anyone interested in gaining insights from data. Topics include (but are not limited to) predictive analytics, applied machine learning, big data, data warehousing and data science. We <3 data!
Join our slack to help plan future events! http://bit.ly/DataPhillySlack
Email us at: admin@dataphilly.com
Found a space we can use for future meetups? https://goo.gl/Ru0eth
Found a speaker for an upcoming meetup? https://goo.gl/9DJxq0
Found a sponsor for our events? https://goo.gl/JLVfqh
Want to have access to the video recordings and details of our past events? https://dataphilly.github.io
See more at dataphilly.com
Featured event
Beyond the Prompt: How AI is Reshaping Analytics and Research
📢 Join DataPhilly for our September Tech Talks: an evening of expert-led presentations, hands-on conversation, and networking with Philadelphia's data community.
Our host is The Wharton School of the University of Pennsylvania. https://www.wharton.upenn.edu/
Schedule
- 6:00 – 6:30 PM: Networking
- 6:30 – 7:15 PM: Vijay Subramanian: Metric Trees: A Computable Representation for Analytics Systems
- 7:15 – 7:20 PM: Break
- 7:20 – 8:05 PM: Aryan Thakur: Field Notes: AI in the Lab
- 8:05 – 8:30 PM: Networking
🎤 Speaker 1: Vijay Subramanian
Metric Trees: A Computable Representation for Analytics Systems
Modern data platforms and dashboard tools excel at computing metrics, but they do little to represent how those metrics relate to one another. This talk introduces metric trees — a graph-based representation that models KPI dependencies, decompositions, dimensions, and business equations as a computable structure. We'll explore how this representation enables analysis automation, and why, as AI becomes central to analytics, the next generation of analytics systems will depend less on dashboards or ever-larger ad hoc prompts and more on structured representations that AI can reason over reliably.
Bio: Vijay Subramanian is the founder and CEO of Trace, an AI-powered analytics platform rethinking how companies understand and act on business performance. Previously, he spent nearly a decade at Rent the Runway as Chief Analytics Officer and Head of Growth, where he led data, growth, product, and operations through a period of rapid scale. He holds a PhD from Purdue University and began his career leading data science at one of the early startups applying machine learning to retail and supply chain problems.
🎤 Speaker 2: Aryan Thakur
Field Notes: AI in the Lab
How are researchers actually using AI? Drawing on conversations with heavy AI adopters in labs at Harvard, Stanford, and UChicago, this talk highlights strategies that are working — from agents that handle analysis "no grad student wants to do" to nightly literature bots. We'll also cover the mental models super-users are using to adapt to rapid model improvement, and what it's like building a science tool at an early-stage startup.
Bio: Aryan is part of the founding team at Tuva, an AI-for-science startup based in NYC founded by two Stanford grads. Aryan received a full-ride to the University of Georgia through the Foundation Fellowship and graduated in 2025 with a bachelor's degree in genetics. After graduating, Aryan completed his master's degree at Tsinghua University through the Schwarzman Scholarship, studying global affairs and how AI is shaping Chinese scientific systems.
âť—Please note, by RSVPing you agree to comply to our code of conduct - https://github.com/DataPhilly/projects/blob/main/COC.md
Upcoming events
1
Beyond the Prompt: How AI is Reshaping Analytics and Research
Jon M Huntsman Hall, The Wharton School, University of Pennsylvania, Philadelphia, PA 19104, Philadelphia, Pe, US📢 Join DataPhilly for our September Tech Talks: an evening of expert-led presentations, hands-on conversation, and networking with Philadelphia's data community.
Our host is The Wharton School of the University of Pennsylvania. https://www.wharton.upenn.edu/
Schedule- 6:00 – 6:30 PM: Networking
- 6:30 – 7:15 PM: Vijay Subramanian: Metric Trees: A Computable Representation for Analytics Systems
- 7:15 – 7:20 PM: Break
- 7:20 – 8:05 PM: Aryan Thakur: Field Notes: AI in the Lab
- 8:05 – 8:30 PM: Networking
🎤 Speaker 1: Vijay Subramanian
Metric Trees: A Computable Representation for Analytics Systems
Modern data platforms and dashboard tools excel at computing metrics, but they do little to represent how those metrics relate to one another. This talk introduces metric trees — a graph-based representation that models KPI dependencies, decompositions, dimensions, and business equations as a computable structure. We'll explore how this representation enables analysis automation, and why, as AI becomes central to analytics, the next generation of analytics systems will depend less on dashboards or ever-larger ad hoc prompts and more on structured representations that AI can reason over reliably.
Bio: Vijay Subramanian is the founder and CEO of Trace, an AI-powered analytics platform rethinking how companies understand and act on business performance. Previously, he spent nearly a decade at Rent the Runway as Chief Analytics Officer and Head of Growth, where he led data, growth, product, and operations through a period of rapid scale. He holds a PhD from Purdue University and began his career leading data science at one of the early startups applying machine learning to retail and supply chain problems.
🎤 Speaker 2: Aryan Thakur
Field Notes: AI in the Lab
How are researchers actually using AI? Drawing on conversations with heavy AI adopters in labs at Harvard, Stanford, and UChicago, this talk highlights strategies that are working — from agents that handle analysis "no grad student wants to do" to nightly literature bots. We'll also cover the mental models super-users are using to adapt to rapid model improvement, and what it's like building a science tool at an early-stage startup.
Bio: Aryan is part of the founding team at Tuva, an AI-for-science startup based in NYC founded by two Stanford grads. Aryan received a full-ride to the University of Georgia through the Foundation Fellowship and graduated in 2025 with a bachelor's degree in genetics. After graduating, Aryan completed his master's degree at Tsinghua University through the Schwarzman Scholarship, studying global affairs and how AI is shaping Chinese scientific systems.
âť—Please note, by RSVPing you agree to comply to our code of conduct - https://github.com/DataPhilly/projects/blob/main/COC.md67 attendees
Past events
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