Resource on Chi-Kuang Yeh 葉啓光

Past Conference

Sun, 04 Oct 2026 00:00:00 +0000

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.

Statistics, ML & AI events

Sun, 04 Oct 2026 00:00:00 +0000

Seminar series and local calendars

Biostatistics, bioinformatics, and health data science

Emory Biostatistics and Bioinformatics — The BIOS Beat — the department’s biweekly newsletter lists research events and webinars in biostatistics and bioinformatics. Use the Stay In Touch section for current and past issues.
Georgia CTSA Biostatistics, Epidemiology, and Research Design (BERD) Research Forum — a recurring forum connecting statistical methods with clinical and translational research across Emory, Georgia Tech, Morehouse School of Medicine, and UGA. Themes have included clinical trials, wearable data, and AI in health care; check the organizer for the next edition.
Emory Biomedical Informatics Seminar Series — research talks on clinical prediction, medical imaging, electronic health records, and AI for patient care. The calendar also links to Georgia CTSA informatics lunch-and-learn events; attendance formats vary by session.
Emory Tuberculosis Research Advancement Center events — seminars and workshops connecting infectious-disease research with epidemiology, real-world evidence, and AI/ML. Consult individual announcements for local viewing locations and online participation.

Atlanta and nearby Georgia

Georgia State Statistics Seminar — statistics talks organized by Yichuan Zhao. The Mathematics and Statistics calendar provides departmental event announcements.
Georgia Tech ISyE Statistics Seminar — statistical theory, methods, and applications.
Machine Learning at Georgia Tech — current ML seminar and robotics seminar schedules.
Georgia Tech IDEaS seminars and events — AI foundations, machine learning, and high-performance computing talks and workshops.
Georgia Tech CSIP Seminar — signal processing, statistical learning, and information theory.
Emory Data Science lecture series — data science, causal inference, and applications across research disciplines.
Emory CODES seminars — computational and data-enabled science, with an associated student scientific-computing seminar.
University of Georgia Statistics events — colloquia, lectures, and statistics events in Athens.
Atlanta Combinatorics Colloquium — a joint Georgia Tech, Georgia State, and Emory series for related mathematical foundations.

Online and other seminar series

Monte Carlo Online Seminar — Monte Carlo methods and computational statistics.
Online Causal Inference Seminar — causal-inference research talks.
McGill Statistics Seminar — statistics seminar information and schedules.
Centre de recherches mathématiques activities — CRM scientific events and programs.

Notes

GSU faculty in statistics and related fields

Sat, 26 Sep 2026 00:00:00 +0000

Statistical research at Georgia State University extends well beyond one department. This directory brings together faculty developing statistical and computational methods and researchers applying quantitative methods to health, brains, education, economics, and business. Use it to discover potential advisors, collaborators, and research questions.

Names are alphabetical by surname within each group, with regular faculty listed before associated and adjunct faculty. Each linked name leads to an official profile, laboratory, or research directory. Faculty associated with Mathematics and Statistics also appear under their related research fields, with their affiliations noted. The groupings are a guide to research connections, rather than formal departmental boundaries. For a broader introduction, see Why study at GSU?.

Misc

Sat, 26 Sep 2026 00:00:00 +0000

A collection of resources for research, teaching, and academic life at Georgia State University, together with career resources I find useful.

Research

GSU Library databases — find literature and subject databases through the university library.
Research Data Services — consultations and training in R, Python, data analysis, visualization, data management, and AI in research.
Interlibrary Loan — request articles and books that are not available in GSU’s collections.
University Research Services & Administration (URSA) — research support, proposal and award administration, training, and access to research systems.

Computing

For cluster access, storage, and R or Python batch jobs, see my GSU research computing guide.

Optimal regression design: an introduction

Sat, 26 Sep 2026 00:00:00 +0000

Which experimental settings should we use, and how often should we repeat each one? Optimal regression design answers this question by connecting a scientific goal to a statistical model and a limited experimental budget. The settings might be concentrations, sampling times, temperatures, or pool sizes. The goal might be precise parameter estimation, reliable response prediction, or learning a particular contrast.

RAG systems: evidence, evaluation, and uncertainty

Sat, 26 Sep 2026 00:00:00 +0000

A useful research assistant should show where its answer comes from—and recognize when the available evidence is not enough. Retrieval-augmented generation (RAG) connects a language model to an external collection of documents. Instead of answering only from information encoded in its parameters, the model receives retrieved passages as context for its response. Lewis et al. introduced a prominent framework combining a neural retriever with a generative model. [1]

Why study at GSU?

Sat, 26 Sep 2026 00:00:00 +0000

For students interested in statistics, data science, or AI, Georgia State University combines quantitative training with the opportunities of a major U.S. city. Studying in downtown Atlanta means access to a broad research community, internationally known companies, and plenty to enjoy outside the classroom. Teaching assistantships can also make an MS financially attractive while building valuable teaching experience.

🎓 Build a foundation, then choose an application

The Department of Mathematics and Statistics offers an M.S. in Applied Statistics and a Ph.D. in Mathematics and Statistics, alongside mathematics programs and new machine learning and data science concentrations. This creates routes for students interested in statistical methodology, applications, or the interface between statistics and computation. Explore the department’s programs and compare the M.S. and Ph.D. curricula with your goals.

Drug discovery: statistics and AI agents

Fri, 25 Sep 2026 00:00:00 +0000

Drug discovery connects biological understanding with evidence about candidate compounds, including activity, toxicity, and how compounds behave in the body. These early investigations precede later stages of drug development. [1] A statistical question runs through this process: which candidate or experiment should we investigate next, given limited data and resources?

The examples below introduce prediction, experiment selection, and uncertainty calibration, then show how an AI agent could connect them.

1. Model the response and its uncertainty

Let \(x_i\) describe a candidate or experimental condition and \(y_i\) be its measured response. A simple working model is

GSU research computing: a practical guide

Fri, 25 Sep 2026 00:00:00 +0000

Research computing is useful when a simulation, bootstrap study, or model-fitting task outgrows a laptop. At Georgia State University, ARCTIC provides access to shared research computing infrastructure, including the ACIDS cluster. This guide introduces the workflow for students and researchers working with R or Python.

Start with a small example, check its output, and then scale up. The examples below are templates: replace account and partition placeholders with the values available to your project. Consult the linked GSU documentation for current access rules and software versions.

Job Market reflection

Fri, 08 May 2026 00:00:00 +0000

This is just a self-reflection of the job market process for tenure-track statistics/biostatistics professorship in North America of the academic year 2024–2025. I am adding more details as I go through the process. I hope this can help other job seekers in the future, especially for the ones coming from Canada and do not have any connections or experiences in the US.

MFCF computing resource shortguide

Thu, 20 Feb 2025 00:00:00 +0000

Only read if you wanna use school server

Which Operating System do you use?

In all OS, you can use Terminal or cmd to connect, but I perfer not using it as a beginner.
Windows, depends on the version of your OS… but I strongly recommend using WSL2. Otherwise, you may use Putty. In addition, I think MobaXterm is a good choice to connect to the servers.
MacOS, well… you may just use terminal. I think even Screen Sharing client, a default software works. Alternative, you may use royal TSX.
Linux, I prefer Remmina.

Download Cisco - the VPN software if you are off campus

Waterloo Web
Find the installization guide on the right hand side, and choose the appropriate OS.
Type your WatIAM ID and password to download.
Open Sever/connect to cn-vpn-uwaterloo.ca and type the account & password
You may need to obtain the second password using the DUO mobile app.

Open the software and connect to the servers

Windows server - use Microsoft RDP I think is the easiest way. Let me know if you do not know how to use.