Talk, Amazon Machine Learning Conference 2025, Seattle, WA, USA
I gave an invited talk at the Machine Learning for Healthcare Roundtable during the Amazon Machine Learning Conference 2025, presenting our work on evaluating the trustworthiness of large language models (LLMs) in medical product question answering.
Talk, Amazon NAS GenAI Learning Series, Sunnyvale, CA, USA (virtual session)
I delivered an invited talk for the Amazon North America Stores GenAI Learning Series, presenting a deep dive into the design, architecture, evaluation, and deployment of large-scale agentic systems across Amazon. The talk bridged my work across Shopping Conversations Foundations and Amazon Health AI / One Medical, highlighting the development of agentic LLM systems from consumer shopping experiences (specifically BuyForMe) to clinical and healthcare workflows.
Talk, Amazon Image & Video Generation Workshop 2025, Seattle, WA, USA
I delivered a talk at Amazon’s Image and Video Generation Workshop 2025, presenting our work at Amazon Health on building AI-enabled virtual care experiences using digital avatar assistants.
Poster Presentation, Machine Learning for Health Symposium (ML4H) 2024, Vancouver, Canada
I presented a poster at the Machine Learning for Health Symposium (ML4H) 2024 in Vancouver, corresponding to the paper Detecting sensitive medical responses in general purpose large language models. The work investigates how to identify sensitive or potentially harmful medical responses produced by general-purpose large language models.
Poster Presentation, KDD Workshop on GenAI Evaluation 2024, Barcelona, Spain
I presented a poster at the KDD 2024 Workshop on GenAI Evaluation in Barcelona, corresponding to the paper “Trustworthiness in medical product question answering by large language models”. The work introduces a claim-level evaluation framework to assess whether large language models provide medically accurate and label-consistent answers when responding to questions about prescription drugs and medical products.
Poster Presentation, Machine Learning for Health Symposium (ML4H) 2022, New Orleans, LA, USA
I presented a poster at the Machine Learning for Health (ML4H) Symposium 2022 in New Orleans, based on research conducted at Google Health. The work investigates how randomness in training deep learning models, despite identical data, architecture, and hyperparameters, can lead to meaningfully different patient-level predictions in clinical risk stratification tasks.
Panel, MICCAI 2022 — Academia & Industry (A&I) Panel, Singapore
I was invited to participate as a panelist in the Careers in Academia and Industry session at MICCAI 2022. This flagship event brought together researchers, innovators, and industry leaders to discuss professional pathways, career development, and the evolving relationship between academic research and real world applications.
Talk, MICCAI Applications of Medical AI (AMAI) Workshop 2022, Singapore
I presented our work at the Applications of Medical AI (AMAI) Workshop at MICCAI 2022, where our paper received the Best Paper Award. This work introduces a dynamic prediction model capable of identifying chronic kidney disease patients at high risk of requiring renal replacement therapy up to one year in advance.
Talk, International Conference on Affective Computing and Intelligent Interaction (ACII), SEAIxI Workshop, Cambridge, UK
I delivered an oral presentation at the International Conference on Affective Computing and Intelligent Interaction (ACII 2019) in Cambridge, UK, during the International Workshop on Social and Emotion AI for Industry (SEAIxI). The presentation summarized our work on detecting real world, driving induced affective states using physiological signals, based on our paper presented at the conference.
Talk, International Conference on Pattern Recognition (ICPR), Beijing, China
I delivered an oral presentation at the International Conference on Pattern Recognition (ICPR 2018) in Beijing, China, presenting our work on personalized pain detection using functional near-infrared spectroscopy (fNIRS) brain signals. The paper received the Best Student Paper Award.
Talk, Lee Kuan Yew Global Business Plan Competition, Singapore
I presented our startup concept, ZenAuto, at the Lee Kuan Yew Global Business Plan Competition (LKYGBPC) in Singapore, one of Asia’s leading deep-tech entrepreneurship challenges. The competition brings together next-generation founders from around the world to showcase innovations with the potential to reshape cities, industries, and society. Our work was selected for presentation on the competition stage alongside teams from top global universities.
Poster Presentation, American Pain Society Annual Meeting, Pittsburgh, PA, USA
I presented a poster at the 2017 Annual Meeting of the American Pain Society in Pittsburgh, describing collaborative work between the MIT Affective Computing group and MedImmune on automatic pain detection using computer vision and machine learning.
Talk, White House Open Data Innovation Summit, Washington, D.C., USA
I presented work at the White House Open Data Innovation Summit in Washington, D.C., where our team was invited to present our project developed during a Boston-based health hackathon. Our project, LymeDot, explored how mobile technology and open data could help patients with Lyme disease track symptoms over time, support clinical decision-making, and empower individuals managing complex, chronic conditions.
Talk, Lyme Innovation Hackathon, Cambridge, MA, USA
I presented our team’s work at Lyme Innovation, the first-ever Lyme-disease–focused hackathon, held at the Microsoft NERD Center in Cambridge and organized by Spaulding Rehabilitation’s Dean Center for Tick-Borne Illness, the Veterans Affairs Center for Innovation, MIT Hacking Medicine, UC Berkeley, and Harvard Medical School. The three-day event brought together clinicians, scientists, engineers, entrepreneurs, and patients to develop new solutions for Lyme disease. Our project was selected as one of the finalists and received a $5,000 award.
Talk, International Conference on Smart Portable, Wearable, Implantable and Disability Oriented Devices and Systems (SPWID), Valencia, Spain
I delivered an oral presentation at the International Conference on Smart Portable, Wearable, Implantable and Disability Oriented Devices and Systems (SPWID 2016) in Valencia, Spain. The talk presented our work on wearable technologies for managing stress in individuals with multiple sclerosis (MS), based on research conducted at the MIT Media Lab.
Talk, Real Colegio Complutense at Harvard University, Cambridge, MA, USA
I delivered an invited talk at the Building Bridges to Develop New Medical Technologies workshop hosted by the Real Colegio Complutense at Harvard University. The event brought together engineering and medical researchers from Boston and Spain to foster international collaboration and cross-disciplinary innovation in biomedical science and technology.
Talk, Computing in Cardiology Conference 2011, Hangzhou, China
Gari Clifford (University of Oxford) and I gave an oral presentation at the Computing in Cardiology (CinC) Conference 2011 in Hangzhou, China, presenting our joint work conducted at the Oxford Institute of Biomedical Engineering (IBME). The talk covered our algorithm for assessing the diagnostic acceptability of electrocardiograms (ECGs) collected in noisy or low-resource ambulatory environments.
Poster Presentation, Amgen Scholars European Symposium, Cambridge, UK
I presented a poster at the Amgen Scholars European Symposium 2010 at the University of Cambridge, describing research conducted during my summer internship at the Wolfson Brain Imaging Centre under the supervision of Adrian Carpenter and Steve Sawiak. The symposium brought together undergraduate researchers from institutions across Europe to share summer projects and participate in a series of academic talks and poster sessions.