2026 presentations

Machine Learning in Health Club
Personalise
Visual representation of big data

10 July 2026

Presentation: 

Teaching and Learning in the Age of Generative AI

Presenter
Dr Oscar Pérez Concha
UNSW

26 June 2026

Presentation: 

Judging the LLM-as-judge in clinical tasks

Presenter
Larry Bi

 


5 June 2026

Presentation: 

The Sisyphean Cycle of LLM Evaluation: Saturate, Rebuild, Repeat

Presenter
Larry Bi

 

22 May & 29 May 2026

Discussion on: 

Stanford CS230: Agents, Prompts, and RAG

Stanford Online


1 May 2026

Paper Presentation & Discussion: 

Mirage: The Illusion of Visual Understanding

Article author
Mohammad Asadi, et al., Stanford University

24 April 2026

Presentation: 

Harmonising the Clinical Melody: Tuning Large Language Models for Hospital Course Summarisation in Clinical Coding

Presenter
Larry Bi


10 April 2026

Presentation: 

Stanford CME295 Transformers & LLMs - LLM Evaluation Part 2.

Presenter
Stanford Online

27 March 2026

Presentation: 

Stanford CME295 Transformers & LLMs - LLM Evaluation

Presenter
Stanford Online


13 March 2026

Presentation: 

The Anthropic Precedent: Artificial Intelligence, Clinical Autonomy, and the Governance Vacuum

Presenter
Larry Bi

6 March 2026

Presentation: 

The Crab That Fought Back: Autonomous Agents, Open Source, and Why Healthcare AI Should Be Paying Attention.

Presenter
Sandy Sa


27 February 2026

Presentation: 

AI in 2026: Artificial Intelligence or Automated Irresponsibility

Presenter
Larry Bi

 

20 February 2026

Presentation: 

Hertion AI: A Unified Multi Agent System for Health Data Research and Preprocessing

Short Description: Hertion AI is an idea that emerged from our experience as research student that a significant amount of research time is spent on data cleaning, cohort construction, and preparing datasets before analysis can even begin. The system uses RAG and a multi agent AI architecture to support metadata understanding, cohort suggestions, variable derivation, data cleaning, and literature informed research planning. The goal is to streamline clinical research workflows and reduce manual data wrangling time while maintaining strict data governance.

Presenter
Gege Ardiansyah (Gege)

Team members
Fatimah Azzakiyah (Fatimah) 
Mifetika Lukitasari (Tika)
Ravicha Suksawasadi (Palm)