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CCAIM AI and Machine Learning Summer School

From 11 to 15 September 2023, CCAIM invites you to the second iteration of the world’s first Online Summer School exclusively focused on AI and Machine Learning for Healthcare – bringing together Students, Researchers, Clinicians, and Industry Experts


“AI and machine learning have the potential to truly revolutionise the delivery of healthcare, to the great benefit of patients, clinicians and the wider medical ecosystem.“

Professor Mihaela van der Schaar, Director

66% Academic

13% Clinician

21% Industry

This Summer School is all about the interdisciplinary focus – bringing together more than 400 AI/ML Researchers, Clinicians, and Industry professionals both as participants and speakers, with over a quarter of them coming from international institutions (2022 numbers).

What can you expect?

Over five days, we will provide an intense dive into the future of machine learning in healthcare: our experts will bring you their visions about the most important topics in the cross-section of Al, machine learning, and healthcare.

Time-Series in Healthcare

Individualised Treatment Effects

Synthetic Data

Causal Deep Learning

ML for Clinical Trials

Large Language Models

Data-Centric AI

and much more…

Get close to the Experts!

We have world-leading experts in the fields of Al, machine learning, and healthcare to present engaging lectures, offer unique mentorship, and share their visions about the future of healthcare with you. CCAIM is proud to collaborate with some of the biggest companies in Al and machine learning research, as well as representatives of the healthcare industry such as GSK and AstraZeneca. We are looking forward to engaging discussions at our industry roundtable, as well as having these professionals present their current research.

Roundtables with Industry

Mentorship

Networking & Exhibitions

Hands-on Sessions

This year, we are introducing extensive hands-on sessions tailored specifically for clinicians! In these sessions, we will introduce you to and guide you through some of our most advanced software tools:

AutoPrognosis (AutoML)

Synthcity (Synthetic Data)

Learn from the biggest experts in the world:
Researchers, clinical practitioners, industry professionals

Keynote Speakers

Prof Donald E. Ingber

Founding Director of the Wyss Institute; Judah Folkman Professor of Vascular Biology; Hansjörg Wyss Professor of Bioinspired Engineering

Wyss Institute

Harvard University

Harvard John A. Paulson School

    Dr Najat Khan

    Chief Data Science Officer and Global Head of Strategy & Operations for R&D

    Janssen Pharmaceutical Companies

    Johnson & Johnson

      Dr Megan Gibbs

      Global Head of Clinical Pharmacology & Quantitative Pharmacology

      AstraZeneca

        Prof Kyunghyun Cho

        Associate Professor of Computer Science & Data Science

        University of New York

        Genentech

          Prof Isabelle Guyon

          Director, Research Scientist;
          Chaired Professor of AI

          Google Brain

          University Paris-Saclay

            Meet all your speakers here.

            Organisers

            Prof Mihaela van der Schaar

             John Humphrey Plummer Professor of Machine Learning, Artificial Intelligence and Medicine at the University of Cambridge;
             Fellow at The Alan Turing Institute in London;
            Founding Director at CCAIM

            University of Cambridge

            Turing Institute

            CCAIM

              Dr Fergus Imrie

              Postdoc at the ECE Department

              University of California

                Industry

                We are proud to collaborate with some of the biggest companies in AI and machine learning research, as well as representatives of the healthcare industry. We are looking forward to engaging discussions at our industry roundtable, as well as having these professionals present their current research.

                AstraZeneca

                Learn More

                GlaxoSmithKline

                Learn More

                DeepMind

                Learn More

                Microsoft Research

                Learn More

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