Virtual Poster Session
The Virtual Poster session will be hosted on Gather from 6:00-7:00pm. Gather is a browser-based virtual conference platform that allows participants to move around a digital conference space using customizable avatars. As attendees walk through the poster hall, they can view poster thumbnails, open full-size posters, and start video or audio conversations with presenters nearby. No software installation is required; Gather runs directly in your web browser.
- Georg Heiler, Daniil Gafni - Versioning Multimodal Data with Metaxy (Data-Driven Discovery, Machine Learning and Artificial Intelligence)
- Emmanuel I. Obi - Define Your Own Dimensions: Algebraic Unit Conversion Beyond SI, CGS, and Natural Units (General)
- Yu-Lin Chen, Tyng-Ruey Chuang | 莊庭瑞, Cheng-Jen Lee | 李承錱 - Toward Reliable Localization of Free and Open Source Software: LLM-assisted Translation Workflows for QGIS (Data-Driven Discovery, Machine Learning and Artificial Intelligence)
- Pavan BG - NODEFit - Fit time-series data with a Neural Differential Equation (Data-Driven Discovery, Machine Learning and Artificial Intelligence)
- Jeroen Janssens - From Script to Tool: Leveling Up Your Python Workflow (General)
- Taewoon Kim - From Transactions to Vectors: Embedded Multi-Model Data Workflows in Scientific Python (Data-Driven Discovery, Machine Learning and Artificial Intelligence)
- Rodrigo Silva Ferreira - 25 Years of Interactive Scientific Computing: From IPython and Jupyter to IDE-Native Notebooks (Spirit of SciPy)
- Rene Lagos - A Reproducible "Data Lakehouse" for High-Resolution Gastric Cancer Epidemiology Study in Chile (Biological and Medical Sciences)
- Srilakshmi Bharadwaj - When “Scalable” Isn’t Scalable: Real Lessons from Production Data Systems (General)
- Rylie Weaver - alphagenome-pt: Training AlphaGenome Models in PyTorch (Data-Driven Discovery, Machine Learning and Artificial Intelligence)
- Pankaj Arora - AI-Driven Inventory Redistribution Between Hospitals to Reduce Waste and Shortages Using Predictive Analytics
- Gift Ojeabulu - Why Reproducibility Still Fails in Modern Machine Learning (Data-Driven Discovery, Machine Learning and Artificial Intelligence)
- Shaurya Agarwal - The Silmaril strikes again - Practical Ontology Engineering for AI, Reasoning Engines and Real-World Applications (Data-Driven Discovery, Machine Learning and Artificial Intelligence)
- Prashant Badiger, Gajendra Deshpande, Mallikarjun mrityunjaya - math - Real-Time AI/ML-Based Phishing Detection and Prevention Using the Python (Data-Driven Discovery, Machine Learning and Artificial Intelligence)
- Mohd Toukir Khan - Beyond First PRs: Converting Students into Long-Term Open Source Contributors (Maintainers and Community)
- Aayush Gauba - Numerical Stability Pitfalls in Scientific Optimization Pipelines (Data-Driven Discovery, Machine Learning and Artificial Intelligence)
- Kedar Dabhadkar - Self-Evolving Skill Graphs: Using Reflective Optimization for AI Agent Skill Organization (Data-Driven Discovery, Machine Learning and Artificial Intelligence)
- Ahmad El Hajj - Density Functions and Random Number Generators of Alpha-Stable Distributions (Scientific Computing in Education)
- Daniel Samuel Etukudo - Using Food and AI to Manage Chronic Conditions (General)
- Aayush Gauba - Detecting Anomalies in Scientific Data Using SciPy’s Statistical and Signal Tools (Data-Driven Discovery, Machine Learning and Artificial Intelligence)
- Conor Hoekstra - Parrot Python: Fused Array Operations for the GPU (General)
- Johannes Plambeck - Optimising HCP Sample Allocation in Pharma: Combining Non-Linear Ensemble Learning, Spatial Lags, and Integer Programming (Data-Driven Discovery, Machine Learning and Artificial Intelligence)
- Rudraksh Karpe, Shivay Lamba, Suvrakamal Das, Satyam Soni - Recursive Language Models (RLMs): Scaling to Infinite Context via Programmatic Decomposition (Data-Driven Discovery, Machine Learning and Artificial Intelligence)
- Gauri Sarode - When Search Becomes Intelligent: The Rise of LLMs and AI Agents in Discovery Systems (Data-Driven Discovery, Machine Learning and Artificial Intelligence)
- Sanjiban Sengupta - A Unified Inference Interface for Low-Latency Machine Learning in High-Energy Physics (Physics and Astronomy)
- Sho Tanaka - Avoiding Zero-Trade Policies in RL with a Decoupled MLOps Architecture (Data-Driven Discovery, Machine Learning and Artificial Intelligence)
- Lucas Squarize Chagas, Avik Basu - The Missing Lever in ML Deployment: Threshold Tuning using Regression Discontinuity (Data-Driven Discovery, Machine Learning and Artificial Intelligence)
- Arunkumar Amaran - Conversational AI Interfaces for Retail Data Engineering and Business Intelligence (General)
- Shivika Bisen - Solving the AI Eval Gap: Domain-Aware Evals for Production AI Agents (Data-Driven Discovery, Machine Learning and Artificial Intelligence)
- Petr Andreev - JIT in the Wild: CPython’s Next Step vs PyPy and V8 (With Real Benchmarks) (Scientific Computing in Education)
- Petr Andreev - CPython Under Load: NoGIL, Green Threads, AsyncIO vs Other Langs: deep-dive and benchmarks (Scientific Computing in Education)
- GUSTAVO COELHO HAASE, PAULO DOURADO - PanelBox: A Comprehensive Python Library for Panel Data Econometrics (General)
- Vinay Vyas - Benchmarking Edge-Accelerated Genomics: A Pilot Study of Unified Memory Architectures in Deep-Sea Metagenomics (Data-Driven Discovery, Machine Learning and Artificial Intelligence)
- A Seshaditya - Large Language Models and Physics-AI for Fluid Dynamic Simulations (Physics and Astronomy)
- Sauhard Bhatt - Mr. (Data-Driven Discovery, Machine Learning and Artificial Intelligence)
- Ruben Huidekoper, Camila Birocchi - Be Your Own Consultant: Start Self-Diagnozing Your BI Tech Stack (General)
- Viraj Sharma - XAI - MechInterp and Causal Visualizations (Data-Driven Discovery, Machine Learning and Artificial Intelligence)
- Shaurya Agarwal - Vogon Poetry - Columnar Data, Zero-Copy, etc. etc.: key ideas for data and AI teams to up their game… (Data-Driven Discovery, Machine Learning and Artificial Intelligence)