Dr. Celia Cintas

Keynote Speaker

Dr. Celia Cintas is a Research Scientist at IBM Research Africa - Nairobi, Kenya. She is a member of the AI Science team at the Kenya Lab. Her current research focuses on the improvement of ML techniques to address challenges on Global Health in developing countries and exploring subset scanning for anomalous pattern detection under generative models. Previously, a grantee from the National Scientific and Technical Research Council (CONICET) working on Deep Learning techniques for population studies at LCI-UNS and IPCSH-CONICET as part of the Consortium for Analysis of the Diversity and Evolution of Latin America (CANDELA). She holds a Ph.D. in Computer Science from Universidad del Sur (Argentina).

Dr. Alan Karthikesalingam

Keynote Speaker

Dr. Alan Karthikesalingam is a senior staff clinical research scientist in Google Health who leads the clinical team's translational research efforts, with a particular focus on bridging new ML developments and health-oriented research. He focuses on machine learning for medical imaging across multiple fields: radiology, ophthalmology and dermatology, with interests in AI safety, robustness and data-efficiency for realising real-world clinical impact. Alan is an honorary Lecturer in Vascular Surgery at Imperial College in London where he continues to see patients and supervise PhD students. He did his MA in Neuroscience and Medical Degree (MBBChir) at the University of Cambridge, followed by specialist training in surgery in the London Deanery, where he completed his Membership of the Royal College of Surgeons (MRCS), PhD in Vascular Surgery and was appointed as a NIHR Clinical Lecturer. In 2017 he joined DeepMind's health research team and in 2019 joined Google Health. He has published over 150 peer-reviewed articles, including first-author studies in the New England Journal of Medicine and The Lancet prior to DeepMind/Google, where he subsequently co-authored landmark papers in Nature and Nature Medicine on deep learning systems for mammography, ophthalmology and electronic health records.

Elliot Creager

Keynote Speaker

Elliot is a PhD Candidate at the University of Toronto and the Vector Institute, where he is supervised by Richard Zemel. He works on a variety of topics within machine learning, especially in the areas of algorithmic bias and representation learning. He was previously an intern and student researcher at Google Brain in Toronto.