I am a 4th year PhD student at the University of Edinburgh, under the supervision of Dr. Arno Onken and Dr. Nathalie Rochefort. In the intersection of machine learning and
computational neuroscience, my research interest lies in the emerging field of NeuroAI. Specifically, I am
interested in building
“digital twins” of the visual cortex that can accurately predict visual responses to dynamic and
natural
stimuli. On top of my
main research focus, I am also interested in
machine learning for health, which I believe is an integral part of AI for good. Being part of the Biomedical
AI CDT program, I
have the opportunity to collaborate with doctors and medical practitioners to work on problems in medical
imaging and precision psychiatry.
I spent 3 wonderful months interning at Microsoft Research in Redmond, Washington between August and
November 2024. Before that, I was very fortunate to have been
selected in the Enrichment Scheme
2023-2024 at the
Alan Turing Institute and I spent 6 months working at their British Library office. In Summer 2023,
I worked at the Statistics & Decision Sciences team at Janssen R&D,
Johnson & Johnson as a research intern.
Prior to my graduate studies, I was a Research Engineer at Huawei
Noah's Ark Lab in Toronto where I was
part of the computer-vision and human-computer interaction team. I received my undergraduate degree in
Computer Science from the University of Toronto in 2018 in which I spent a wonderful year at AMD as a Software Engineer.
Please feel free to contact me if you'd like to chat!
Recent updates
- Mar. 2025 AutoEmulate: A Python package for semi-automated emulation is now on JOSS!
- Dec. 2024 I have started working with Dr Matthias H Hennig and Dr Nina Kudryashova as a Research Associate to build a closed-loop system for in vitro experiment!
- Nov. 2024 Checkout my Microsoft Research Blog on the improvement I made to GraphRAG!
- Nov. 2024 Our paper Retrospective for the Dynamic Sensorium Competition for predicting large-scale mouse primary visual cortex activity from videos has been accepted to NeurIPS 2024 Datasets and Benchmarks Track!
- Oct. 2024 Our paper A Bayesian analysis of heart rate variability changes over acute episodes of bipolar disorder is now published in npj Mental Health Research!
- Aug. 2024 Started my research internship at Microsoft Research in Redmond, WA!
- Jul. 2024 Checkout our retrospective paper on the NeurIPS Sensorium 2023 challenge winning solutions is up on arXiv!
- May 2024 Our paper Wearable Data From Subjects Playing Super Mario, Taking University Exams, or Performing Physical Exercise Help Detect Acute Mood Disorder Episodes via Self-Supervised Learning: Prospective, Exploratory, Observational Study has been accepted to JMIR mHealth and uHealth!
- Mar. 2024 Our paper Automated mood disorder symptoms monitoring from multivariate time-series sensory data: Getting the full picture beyond a single number is now published in Nature Translational Psychiatry!
- Mar. 2024 Checkout our new preprint: Does heart rate variability change over acute episodes of bipolar disorder? A Bayesian analysis!
- Nov. 2023 Our spatiotemporal Transformer approach to the Sensorium 2023 challenge came 🥉 place! I will give a short talk on our solution at NeurIPS2023 in December.
- Nov. 2023 Checkout our new preprint on machine learning and wearables in precision psychiatry: Wearable data from subjects playing Super Mario, sitting university exams, or performing physical exercise help detect acute mood episodes via self-supervised learning!
- Oct. 2023 I have started working at The Alan Turing Institute office in the British Library as part of the Enrichment Scheme!
- Aug. 2023 V1T: large-scale mouse V1 response prediction using a Vision Transformer is now published in TMLR! You can find our poster at Bernstein 2023 here.
- Jun. 2023 I have started working at Janssen R&D, Johnson & Johnson as a research intern for Summer 2023!
- May 2023 Our paper Exploring digital biomarkers of illness activity in mood episodes: hypotheses generating and model development study has been published in JMIR mHealth and uHealth!