Statistics, ML & AI events

Statistics, biostatistics, bioinformatics, ML, and AI conferences and seminars in Atlanta and nearby Georgia, with dates, venues, and official links.

2026-10-04

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

Places to share research and meet collaborators in statistics, biostatistics, bioinformatics, ML, and AI. Each section is ordered by date; completed events automatically move to Past events.

Research conferences and workshops

  • Emory Core Day — · Emory University, Atlanta; Convocation Hall, 505 Kilgo Circle. Research presentations and networking with shared research facilities across Georgia. The program includes computational brain imaging, AI-related health research, and biostatistics core services. Attendance is free, but advance registration was required by October 23; check with the organizer about any remaining availability. The agenda remains subject to change.
  • Emory AI for Health Symposium — – · Emory University, Atlanta. The fourth symposium on AI in medicine and health, at 1760 Haygood Drive NE.
  • NeurIPS 2026 — Atlanta satellite — – · Georgia World Congress Center, Atlanta. Main-conference sessions and tutorials run December 9–11; workshops follow December 12–13. See the venue information and the official list of 26 Atlanta workshops. Topics include uncertainty-aware decisions, evaluation of agents, reliable clinical simulation, and biomolecular design. Sydney hosts the main meeting December 6–12, while Atlanta and Paris have their own local programs. Registration refund requests (AoE): Nov 4, 2026.
  • Machine Learning & the Physical Sciences — · Georgia Tech, Atlanta. Hosted by the AI4Science Center, this independent workshop connects machine learning with physical-science research. It is near the NeurIPS venue but is not an official NeurIPS workshop in 2026. Virtual participation is available; NeurIPS registration is not required.
  • World Models for High-Stakes Health — · Georgia World Congress Center, Atlanta. NeurIPS Atlanta workshop. Clinical-trial simulation, treatment-effect estimation, causal inference, and uncertainty quantification using longitudinal patient data; rooms C208–C209.
  • Agentic Intelligence for Medical Imaging and Multimodal Clinical Data (AIM-NeurIPS) — · Georgia World Congress Center, Atlanta. NeurIPS Atlanta workshop. AI agents that combine medical images, clinical records, and analysis tools, with an emphasis on evaluation, reliability, and human oversight.
  • Generative and Experimental Perspectives for Biomolecular Design (GEM) — · Georgia World Congress Center, Atlanta. NeurIPS Atlanta workshop. Generative models, active learning, and experimental validation for proteins, molecules, and nucleic acids; relevant to computational biology and drug discovery.
  • Machine Learning for Microscopy Hackathon 3 — Georgia Tech site — – · Georgia Tech, Atlanta; local opening session in Pettit 102A&B; hybrid participation. A three-day international hackathon on AI for microscopy, imaging, spectroscopy, and experimental automation. The Georgia Tech announcement lists its December 15 local session from 8 a.m.–3 p.m.; consult the local host for the remaining on-site schedule. The global program runs through December 17. Participation is free and open to students, researchers, and industry participants. In-person registration: Dec 6, 2026. Online registration: Dec 13, 2026.
  • Suddath Symposium — – · Georgia Tech, Atlanta. Experimental, computational, and AI approaches to predictive biomedical models, drug development, and toxicity assessment. Venue: Petit Biotechnology Building, Suddath Seminar Room 1128.
  • APHL ID Lab Con — – · Hyatt Regency Atlanta. An applied public-health laboratory conference with tracks on pathogen genomics, infectious-disease outbreaks, and surveillance. The March 15 Advanced Molecular Detection workshop covers metagenomic sequencing, bioinformatics workflows, and genomic epidemiology. Travel scholarship applications: Nov 1, 2026. Early registration: Feb 19, 2027. Hotel room block (or until full): Feb 19, 2027.
  • SIAM Conference on Applications of Dynamical Systems (DS27) — – · Hilton Atlanta. Includes data-driven and AI-informed dynamical systems, stochastic dynamics, and scientific applications. The travel-support deadline follows SIAM’s dedicated travel-award page. Contributed abstracts: Nov 23, 2026. Travel support applications: Feb 22, 2027. Early registration: Apr 26, 2027.
  • ACM Federated Computing Research Conference (FCRC) — – · Hyatt Regency Atlanta. Co-located computing conferences connect statistical modeling, learning theory, simulation, and computing systems. See STOC, SIGMETRICS, and SIGSIM-PADS below. SPAA and PLDI also participate in FCRC week; check their programs for individual dates.
  • STOC 2027 — – · Hyatt Regency Atlanta. Part of FCRC. Theory of computation, including a day on theoretical computer science and AI. Paper submissions (11:59 p.m. AoE): Nov 2, 2026. Required submission videos (11:59 p.m. AoE): Nov 16, 2026. Workshop proposals: Apr 1, 2027.
  • SIGMETRICS 2027 — – · Hyatt Regency Atlanta. Part of FCRC. Measurement, statistical modeling, and performance analysis of computing systems. Workshop proposals (11:59 p.m. AoE): Nov 15, 2026. Tutorial proposals (11:59 p.m. AoE): Nov 20, 2026. Winter abstract registration (11:59 p.m. AoE): Jan 4, 2027. Winter paper submissions (11:59 p.m. AoE): Jan 11, 2027.
  • SIGSIM-PADS 2027 — – · Hyatt Regency Atlanta. Part of FCRC. Simulation methods and systems for modeling complex processes. First-call paper submissions (extended from October 30; AoE): Nov 13, 2026. Second-call paper submissions (AoE): Jan 22, 2027.

Statistics, ML & AI seminars

  • Emory GH × BIOS: Hot Topics in Public Health — · Emory University, Atlanta; Rollins School of Public Health, RRR100. Noon–1 p.m. A joint Global Health and Biostatistics & Bioinformatics panel with Natalie Dean, Robert Bednarczyk, Rodrigo Carrillo Larco, and Emily Peterson. Discussion includes AI, vaccines, and other current public-health questions. Hosted by the Rollins Student Government Association; see the event page for RSVP details.
  • Emory Living Health: Barry R. Davis — The Preventioneers — · Emory Living Health series; see the organizer’s page for attendance details. 6–7 p.m. An author Q&A with biostatistician and clinical trialist Barry R. Davis about prevention, public health, and translating evidence into action. Hosted by Emory’s Center for the Study of Human Health with the Georgia Center for the Book; RSVP information is on the event page.
  • Georgia Tech IRIM: Tapomayukh “Tapo” Bhattacharjee — · Georgia Tech, Atlanta; CODA 9th-floor Atrium. 12:15–1:15 p.m. A robotics research seminar with Cornell’s Tapomayukh Bhattacharjee, whose work concerns robotic caregiving and physical interaction with people. The organizer has not yet posted a talk title or abstract.
  • Georgia Tech: AI and Academic Research — The Future of Discovery — · Georgia Tech Hotel & Conference Center, Atlanta; Grand Ballrooms. 6:30–9 p.m. A panel in the Ivan Allen College AI & Society Series on AI-assisted discovery, changing research methods, and the ethical and practical questions arising from AI in scholarship.
  • UGA Statistics: Qin Lu — · 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.
  • Kennesaw State Data Science Colloquium — November — · KSU Marietta Campus; Atrium Building, Room J1220. 11 a.m.–noon. A research seminar with discussion on data science and related methods. Open to the university community and the public; consult the organizer’s page for the speaker and talk announcement.
  • GSU Mathematics & Statistics: AI Risks and What Mathematicians Can Do about Them — · Georgia State University, Atlanta; 25 Park Place, Room 1441. 2–3 p.m. Xiaoyu He (Georgia Tech) surveys AI progress and scaling, discusses risks from increasingly capable systems, and considers research directions in alignment and safety. Hosted by GSU Mathematics and Statistics.
  • Georgia Tech IBB Breakfast Club: Ghassan AlRegib — · Georgia Tech, Atlanta; Petit Biotechnology Building, Suddath Seminar Room 1128. 8:30–9:30 a.m. Ghassan AlRegib’s research includes interpretable and robust machine learning, uncertainty, and human feedback, with applications in medical imaging and autonomous systems. The seminar is open to the bioscience community.
  • Georgia Tech Machine Learning Seminar — Hal Daumé III — · Georgia Tech, Atlanta; CODA 9th-floor Atrium and online. Noon–1 p.m. Hal Daumé III (University of Maryland), whose research includes language, fairness, and trustworthy AI. The talk title and abstract are to be announced. Visitors should arrange CODA access with the organizer at least two business days ahead.
  • GSU Distinguished Lecture: Shaping AI for the Public Good & Life Lessons — · Georgia State University, Atlanta; Student Center East, Speaker’s Auditorium. 5:30–7 p.m. David A. Patterson (UC Berkeley) discusses supporting academic AI research for public benefit and lessons from his career in computing. The K.N. King and Susan A. Cole Distinguished Lecture is hosted by GSU Computer Science; no admission charge is listed.
  • Emory: Generative AI in Academic Writing and Research — Promise and Pitfalls — · Emory School of Medicine; check the organizer’s page for attendance details. Noon–1 p.m. Jon D. Duke presents a professional-development lecture on generative AI in scholarly work. The series is aimed at faculty but welcomes other interested participants; the organizer requests an RSVP.
  • GSU Experimental Economics: AI Sycophancy and Decisions — · Georgia State University, Atlanta; 55 Park Place, Room 604. 3–4:30 p.m. John Conlon presents research on AI sycophancy and decision-making. Hosted by the Experimental Economics Center; the announcement lists students and faculty/staff as its audience.
  • GSU: AI-Enhanced Decision-Making — · Georgia State University, Buckhead Center; 3348 Peachtree Road, Atlanta. 9–11:30 a.m. The first session in the Center for Engaged Business Research’s two-part series examines human judgment, decision quality, and trustworthy AI decision support. The announcement welcomes the public and university community and links to attendance information.
  • Georgia Tech IRIM: Jeremy D. Brown — · Georgia Tech, Atlanta; Klaus Building, Room 1116 E&W. 12:15–1:15 p.m. A seminar with Jeremy D. Brown on his research at the human–robot interface, including medical robotics and touch feedback. The organizer has not yet posted a specific talk title or abstract.
  • UGA Statistics: Inkoo Lee — · 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 SCC: Data Analysis with Power BI — Mary Akinde — · University of Georgia Statistical Consulting Center; online via Zoom. Noon–1 p.m. Mary Akinde introduces data preparation, modeling, calculated measures, and interactive dashboards in Power BI, with examples from applied analytics. The organizer provides the Zoom link and seminar flyer.
  • Georgia Tech Machine Learning Seminar — Enric Boix-Adsera — · Georgia Tech, Atlanta; CODA 9th-floor Atrium and online. Noon–1 p.m. Enric Boix-Adsera (Wharton) studies how AI models learn, with an emphasis on efficiency and reliability. The talk title and abstract are to be announced. Visitors should arrange CODA access with the organizer at least two business days ahead.
  • UGA Statistics: Jeffrey Rosenthal — · University of Georgia, Athens; Brooks Hall, Room 145. 4–5 p.m. Statistics departmental research talk. Consult the department calendar for the latest room and talk details.

Student research and regional networking

  • UGA Statistics Industry Day — · University of Georgia, Athens. Statistics and industry connections, featuring Shan Ba; Caldwell Hall, Room 204.
  • Georgia State Graduate Conference for Research, Scholarship and Creative Activity — · Student Center East, Atlanta. Graduate research from all disciplines, with presentations and opportunities to connect across departments. Presentations begin at 9 a.m.; the awards ceremony starts at 4:30 p.m. Abstract submission for this edition has closed; attendee registration is available through the conference platform.
  • Kennesaw State Fall Analytics Day — · KSU Center Atrium, Kennesaw. Student analytics projects and conversations with regional industry practitioners; 8:30 a.m.–12:30 p.m. Free and open to the public.
  • Emerging Researchers National Conference in STEM (ERN) — – · Hyatt Regency Atlanta. A broad student research conference. The organizer has announced the 2027 dates; submission requirements for that edition are still being updated.
  • ASA DataFest at UGA — – · University of Georgia, Athens. A student data-analysis competition; consult the departmental calendar for participation and venue details.

Industry and practitioner conferences

  • Atlanta AI Week — – · Atlanta; venue to be announced. Sessions and workshops on implementing AI, enterprise applications, and the local startup community.
  • AI Connect Expo — – · Georgia World Congress Center, Atlanta. An industry exhibition and conference focused on AI applications and technology providers; the organizer’s event information lists the dates and venue.

Other conferences of interest

  • SLDS 2026: Inference and Intelligence — – · Marriott at the Brooklyn Bridge, New York. Statistical learning and data science. This meeting is outside the Atlanta region. Registration closed early on October 12 because the meeting reached capacity; abstract submission has also closed.

Dates to be announced

No events awaiting dates.

    Past events (29)

    Open the Past Conference archive →

    • 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.

    Seminar series and local calendars

    Biostatistics, bioinformatics, and health data science

    Atlanta and nearby Georgia

    Online and other seminar series

    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.