I am a machine learning and computer vision research scientist with extensive practical and research experience in university laboratories, startups and the industry. Recently, I have been developing computational models that utilise multimodal information to quantify human behaviours. Eventually, these models are then translated to practical applications, such as automatic digital behaviour phenotyping and biomarker discovery. I frequently employ machine learning, deep learning and computer vision techniques to solve novel problems. In addition, I develop user interfaces that allow users to understand complex datasets and interpret model predictions. I have delivered projects involving diverse datasets, such as images, videos, speech, eye-tracking data, text and tabular data.

Notable projects and experience include:

• Computer Vision: object detection and tracking, segmentation, visual attention (saliency, scanpath) modelling, behaviour recognition, video understanding, vision and language (text-to-image generation), motion estimation
• Machine Learning: classification, clustering, data imputation, anomaly detection, representation learning, time-series modelling, supervised, unsupervised and self-supervised ML
• Medical Research: autism diagnosis, symptom severity prediction, biomarker discovery, statistical analysis, structural heart disease prediction, clinical document analysis

News

• Starting a fellowship at Harvard Medical School and Massachusetts General Hospital.
• Started a fellowship to publish my PhD results at UNSW Sydney.
• Finished a 6-month internship with the International Machine Learning team at Amazon.
• One paper published at PLOS ONE.
• One paper accepted at NeurIPS 2023 workshop.
• One paper accepted at IEEE EBMC 2023.
• One paper published at BMC Psyciatry.
• One paper accepted at ICPR 2022.
• One paper accepted at CVPR 2022 worshop.
• One poster accepted at SIGGRAPH Asia 2021.
• One paper accepted at CHI 2021.
• One paper published at Translational Psychiatry.
• I received a scholarship to undertake my PhD studies at UNSW Sydney.
• I completed my MPhil degree at UNSW Sydney!
• One paper accepted at VRCAI 2019.
• I received a Silver Award for Student Design Competition at HCII 2019.
• One paper accepted at HCII 2019.
• One paper published at AIMS Electronics and Electrical Engineering.
• I received a scholarship to undertake my MPhil studies at UNSW Sydney.