DATA 
SCIENCE
FOR
HEALTH
EQUITY

Last month we welcomed Charles Jones to present his latest work at the Statistical Methods for Health Equity webinar series. Charles Jones is a fourth-year PhD student at Imperial College London, advised by Professor Ben Glocker. Charles' research is at the intersection of fairness and causality in machine learning for medical imaging. He is interested in how causality may be used as a unifying language to understand (and begin to solve) core problems in machine learning, suc

We’re excited to share the recording of DSxHE Mental Health Webinar with Ciarán O'Driscoll , Associate Professor in Clinical Psychology at UCL, and Programme Director of the Clinical Associate in Psychology course. Ciarán’s work bridges the gap between clinical psychology and data science, and in this talk, he explores how data analytics is transforming secondary care mental health services . Ciarán has extensive experience teaching mental health professionals and working w

We’re excited to share our DSxHE Mental Health Webinar with Kim de Jong , Assistant Professor in Clinical Psychology at Leiden University , now live on YouTube! In this insightful talk, Kim dives into how routine outcome monitoring and feedback can help mental health professionals deliver better, data-informed care. Kim’s research focuses on personalizing treatment for individuals, examining why some patients respond better to certain therapies than others, and exploring h

In our latest DSxHE Mental Health Webinar, we had the honor of hosting Ellen Driessen, Assistant Professor in Clinical Psychology at Radboud University in the Netherlands. Ellen, a renowned researcher with numerous awards, including from the Dutch Government, shared her groundbreaking work on personalized treatment approaches for depression. As a clinical psychologist, Ellen’s research is centered on improving treatment for depression by focusing not just on the efficacy of t

This month we welcomed Dr. Nathan Blake to present his work at the Statistical Methods for Health Equity webinar series. Nathan has 12 years of experience as a nurse, predominantly in A&E, before completing a PhD in computational biology. His current work looks at applying causal reasoning for explaining the outputs of black-box AI models as applied to clinical problems. In this talk, Nathan explains the need for Explainable Artificial Intelligence (XAI) in the clinical setti

Catch up on the talk from Irving Amukasa for the Statistical Methods for Health Equity webinar series. Irving Amukasa is a Tech Entrepreneur, self-taught Android and AI developer, founder and CEO of Sophie Bot. Irving is a co-organizer of Android 254, an android developer group based in Kenya and previous organizer of droidcon.co.ke , the largest android focus developer conference in Africa. Irving is also a Windows Insider 4 Good fellow and MentorNations ambassador. Irving g

Catch up on the excellent talk from Dr Divya Shanmugam for the Statistical Methods for Health Equity webinar series. Dr Divya Shanmugam, recently completed her PhD at the Massachusetts Institute of Technology, working with Prof. John Guttag on best practices for developing and deploying machine learning models in the presence of unreliable data. Divya shared her fantastic work on how to characterize and mitigate the impact of imperfect data on machine learning models deployed