Past Conference

Completed statistics, biostatistics, bioinformatics, ML, AI, and related health research events.

2026-10-04

📅 As of 2026-11-01 (Atlanta time) · Latest source review: 2026-11-01.

Completed events, most recent first. See Statistics, ML & AI events for upcoming meetings and recurring seminars.

Past events (29)
  • UGA Statistics: Yuke (Andrew) Wang — · University of Georgia, Athens. 4:30–5:30 p.m. Statistics departmental research talk. Consult the department calendar for the latest room and talk details.
  • Georgia Tech Machine Learning Seminar — Session V — · Georgia Tech, Atlanta; CODA 9th-floor Atrium and online. Noon–1 p.m. The posted research background covers AI for physics, experimental design, and high-dimensional inference; the talk title and abstract are still to be announced. Visitors need to arrange CODA access with the organizer at least two business days ahead.
  • Kennesaw State Data Science: Toward Trustworthy Human-AI Teaming through Visual Transparency — · KSU Marietta Campus; Atrium Building, Room J1220. Rescheduled from October 26 to October 28; the room is now J1220. 2–3 p.m. Jieqiong Zhao (Augusta University) presents visual analytics, trust after AI errors, and ways to combine LLM reasoning with human verification. Open to students, faculty, alumni, staff, and the public.
  • Kennesaw State: Computational Methods for Complex Power-System Decision-Making — · KSU Marietta Campus; Room Q207. 11:30 a.m.–12:30 p.m. Rui Bo (Missouri S&T) discusses optimization, graph-based learning for power-flow calculations, and decisions involving renewable energy. Part of the engineering college’s research seminar series.
  • UGA SCC: An Introduction to Handling Missing Data in R — · University of Georgia, Athens; Miller Learning Center, Room 213. 3–4 p.m. Daniel Hall introduces missing-data mechanisms, imputation, and likelihood-based analysis, with practical examples in R. A Statistical Consulting Center seminar; see the department calendar for the latest details.
  • Georgia Tech IDEaS over Coffee: How Dangerous Are Runaway AI Agents? — · Georgia Tech, Atlanta; IDEaS Suite, CODA 12th floor. 2–3:30 p.m. An informal discussion of AI-agent safety and security with members of the AI Safety Initiative. Georgia Tech students, faculty, and staff are welcome; the organizer provides reception-area escorts near the start for attendees without CODA access.
  • UGA Statistics: Ruoxuan Xiong — · University of Georgia, Athens. 4:30–5:30 p.m. Statistics departmental research talk. Consult the department calendar for the latest room and talk details.
  • UGA Statistics: Yu Wang — · University of Georgia, Athens. 4:30–5:30 p.m. Statistics departmental research talk. Consult the department calendar for the latest room and talk details.
  • Georgia Tech ML Seminar: Story of 3 D’s — Deep Image Prior, Diffusion Models, and Deep Linear Networks — · Georgia Tech, Atlanta; CODA 9th-floor Atrium and online. Noon–1 p.m. Saiprasad Ravishankar (Michigan State) discusses neural approaches to image reconstruction and the dynamics of network training. Visitors need to arrange CODA access with the organizer at least two business days ahead; online access details are on the event page.
  • Georgia Tech ML Special Seminar: Advancing Data-driven Science of Meditation for Improved Mental Health — · Georgia Tech, Atlanta; CODA C1315 Grant Park Conference Room and Zoom. 3–4 p.m. Saiprasad Ravishankar (Michigan State) presents EEG analysis and machine learning for studying meditation and mental health. Visitors need to arrange CODA access with the organizer at least two business days ahead; the event page also provides online access.
  • Georgia Statistics Day — · Georgia Tech, George Tower, Atlanta. Research talks and student posters connecting the regional statistics community; 8 a.m.–5:30 p.m. Keynote speaker: Jianqing Fan.
  • IEEE International Workshop on Machine Learning for Signal Processing (MLSP) — – · Georgia State University, Atlanta. Statistical learning and signal processing, including generative models, multimodal learning, and biomedical applications. Venue: Centennial Hall.
  • Atlanta Mathematics of Data Science Bootcamp — – · Georgia Tech, Atlanta. Tutorials and projects on the mathematical foundations of data science and ML, for undergraduate and high-school students.
  • ACM AI Leadership Summit — – · Hyatt Regency Atlanta. AI research, agentic systems, governance, and applications across academia and industry.
  • STI Prevention Conference — – · InterContinental Buckhead Atlanta. Applied public-health research on sexually transmitted infections, prevention strategies, and service delivery, connecting researchers with clinical and community partners.
  • FOPAM 2026 — – · Courtyard by Marriott Atlanta Decatur Downtown/Emory, Decatur. Process and product analytics and machine learning. The July 26–27 pre-conference workshop connected experimental design and regression with deep learning, LLMs, and AI agents.
  • Summer Institute in Statistics and Modeling in Infectious Diseases (SISMID) — – · Emory University, Atlanta. In-person short courses in statistical and infectious-disease modeling, including ML, MCMC, and simulation-based inference; online modules ran June 22–26.
  • Atlanta Cloud + AI Conference — · FCS Innovation Academy, Alpharetta. Practitioner sessions on cloud infrastructure, AI applications, RAG, and model deployment. See the organizer’s 2026 event packet.
  • ASA/IMS Spring Research Conference — – · Clemson University, South Carolina. A regional option beyond Georgia for research in statistics and its applications.
  • Design and Analysis of Experiments — – · Rutgers University, New Jersey. Research on experimental design and analysis.
  • STATGEN 2026 — – · Emory University, Atlanta. The ASA Section on Statistics in Genomics and Genetics conference, co-organized by Emory’s Department of Biostatistics and Bioinformatics, on statistical methodology for genomic and genetic data.
  • 11th Workshop on Biostatistics and Bioinformatics — – · Georgia State University, Atlanta. Organized by Yichuan Zhao, with research talks and student posters. Yong Chen’s May 8 short course covered federated learning for collaborative health research using PDA and the MOSAiC framework.
  • CDC Epidemic Intelligence Service (EIS) Conference — – · Atlanta. Applied epidemiology, disease investigations, and public-health data analysis. The organizer links to the 2026 agenda, presentation abstracts, and recorded sessions.
  • Atlanta AI Week 2026 — – · Atlanta Tech Village, Buckhead. Enterprise AI, practical workshops, and startup networking.
  • Georgia State Undergraduate Research Conference (GSURC) — · Student Center East, Atlanta. Undergraduate research, scholarship, and creative projects across disciplines.
  • INFORMS Optimization Society Conference — – · The Ritz-Carlton, Atlanta. Optimization for data science, decisions under uncertainty, and computational methods.
  • Computational Cognition Conference (CoCo Con) — · Georgia Tech, Atlanta. Computational approaches to cognition and their connections with AI.
  • Southeast Regional Clinical & Translational Science Conference — – · Callaway Resort and Gardens, Pine Mountain, Georgia. Georgia CTSA’s regional meeting connected clinical and translational researchers. The 2026 program included medical AI implementation, clinical prediction, imaging, and LLM applications.
  • Georgia CTSA BERD Research Forum — · Georgia Tech, Atlanta. The Biostatistics, Epidemiology, and Research Design forum focused on artificial intelligence in medical and health care systems, with research presentations and graduate-student posters.

Notes

Events are grouped by the current date in Atlanta (America/New_York). A dated event stays in the upcoming list through its final day, then moves into Past events automatically. Dates not yet announced remain separate; recurring seminar calendars do not expire.

The directory covers statistics, biostatistics, bioinformatics, ML, AI, and related research, mainly around Atlanta and nearby Georgia. It is selective rather than exhaustive. New announcements and changes are checked against official sources through a scheduled weekly review; these checks are separate from automatic date-based archiving. Consult the linked organizers for the latest dates, venues, registration, and eligibility. Historical entries retain their original edition even if an organizer later reuses its website.