Current
PhD
- Trang Pham [2025–], Monash University
Trang works on Diagnostic Reasoning - Hao Yang [Writing Thesis], Monash University
Hao works on Safety of Multimodal Foundation Models - Minghan Wang [Writing Thesis], Monash University
Minghan works on Translation with LLMs - Ramya Keerthy Thatikonda [Writing Thesis], Monash University
Thesis: Measuring and Advancing the Logical Reasoning Capabilities of Language Models - Dongwon (Kelvin) Ryu [Writing Thesis], Monash University
Thesis: Leveraging Inductive Biases for Efficient Exploration in Text-Based Virtual Environments - Jiuzhou Han [Under Examination], Monash University
Thesis: Enhancing Inference-Time Reliability of Large Language Models
Alumni
PhD
- Yinhong Liu [PhD, 2026], University of Cambridge (with Nigel Collier)
Thesis: Advancing Text Evaluation in the Era of LLMs: Toward Robust Metrics, Consistency, and Human Alignment - Yi Zhu [PhD, 2025], University of Cambridge (with Anna Korhonen, Ivan Vulić) → Research Scientist, RekaAI
Thesis: Multi-Lingual Learning with Few Labels - Jinming (Michelle) Zhao [PhD, 2024], Monash University (with Reza Haffari) → Applied Scientist, Amazon AGI
Thesis: Advancing Data-Constrained Spoken Language Translation - Victor Prokhorov [PhD, 2021], University of Cambridge (with Nigel Collier) → Research Scientist, Huawei
Thesis: Injecting Inductive Biases into Distributed Representations of Text
MSc and Honours
- Piotr Wilam [MSc, 2026], University College London
Thesis: Grammatical composition does not order the circuits of a code model: depth and formation time across training - Mikhail Kim [MSc, 2026], University College London
Thesis: Model Diffing via Learnable Sparse Neuron Modulation - Xuanhao Gu [MSc, 2026], University College London
Thesis: Natural Language to First-Order Logic with Small Language Models: Fine-Tuning and Inference-Time Scaling - Thang Vu [MSc, 2026], University College London
Thesis: Grounded Code Generation for Text-to-SQL - Niall Dalton [MSc, 2026], University College London
Thesis: How Post-Training Influences Verbalized Algorithmic Computation in Language Models - Dhruv Anand [MSc, 2025], Monash University
Thesis: Cube Bench: A Benchmark for Spatial Visual Reasoning in MLLMs - James Garnham [Honours, 2025], Monash University
Thesis: Could language models win the International Linguistics Olympiad? - Alan Tseng [MSc, 2025], Monash University
Thesis: AI Evaluation Benchmarks for Australian Contract Law - Jack Pham [Honours, 2025], Monash University → PhD at Macquarie University
Thesis: Could LLMs self-paraphrasing improve Mathematical Reasoning performance? - Minh (Hieu) Nguyen [MSc, 2024], Monash University → PhD at Monash
Thesis: One STEP at a time: Language Agents are Stepwise Planners 🏆 Winner of Monash Dux Award 2025 - Long Hei Matthew Lam [MSc, 2024], Monash University → Applied Scientist, OpenStream AI
Thesis: A Closer Look at Logical Reasoning with LLMs: The Choice of Tool Matters 🏆 Outstanding Paper Award at ALTA 2024 - Adrian Theuma [MSc, 2023], Monash University
Thesis: Equipping Language Models with Tool Use Capability for Tabular Data Analysis in Finance - Ignatius Ting [MSc, 2023], Monash University
Thesis: A Novel Biomedical Graph-Text Dataset and Its applications - Xinyi (Tina) Li [Honours, 2022], Monash University
Thesis: In-Context Knowledge Elicitation from Large Language Models - Hao Yang [MSc, 2022], Monash University → PhD at Monash University
Thesis: Self-supervised Rewiring of Pre-trained Speech Encoders - Jirarote Jirasirikul [MSc, 2021], Monash University
Thesis: Fine-tuning Pretrained Language Models for Biomedical Tasks - Aiswarya Kaladharan [MSc, 2020], University College London
Thesis: Privacy Preserving Neural Representation for Speech Audio - Lan Zhang [MSc, 2020], University College London → PhD at University of Manchester
Thesis: Understanding the Latent Space in Variational Autoencoders - Lei Yang [MSc, 2020], University College London
Thesis: Generating Recipes with Deep Neural Models
