TU Delft AI Lunch: AI Innovations in Health

15 February 2024 12:00 till 13:30 - Location: Mondai House of AI (@NEXT Delft, Molengraaffsingel 8) | Add to my calendar

On Thursday 15 February (12:00 – 13:30) join us for AI Lunch: AI Innovations in Health. This panel lunch is moderated by Helma Torkamaan, Assistant Professor in AI for Health Systems in the Systems Engineering section at the Faculty of TPM. Join the conversation on current AI innovations in healthcare being developed or researched at TU Delft. How is AI currently being used in healthcare, specifically in curative and preventive domains and other health functions? What are the challenges and breakthroughs in integrating AI technologies in health systems? Learn from the insights of AI researchers and labs at TU Delft who contribute to these breakthroughs.

This event includes free lunch (12:00 - 12:30) for which registration is required.


Moderator: Helma Torkamaan
Assistant professor AI for Health Systems (Faculty of TPM).
Helma is a computer scientist and specializes in the interdisciplinary application and development of human-centered AI. Her work focuses on designing innovative digital solutions and methods for complex health challenges in different areas, such as mental health, pain in cancer, and behavior change among others. She  leverages her expertise in health recommender systems, ubiquitous computing, persuasive design, and multi-objective personalization to enhance  the experiences and outcomes for both stakeholders and users.

Panellist: Derek Lomas

Assistant professor of Positive AI (Faculty of IDE)

He designs data-informed smart systems for human wellbeing, bringing humanist values into AI systems. He is a classicist, futurist, cognitive scientist and proponent of the magic of resonance in design. Lomas has produced over 40 learning and assessment games that have been played by millions of children. His design consultancy, "Playpower Labs", provides UX design, data science and software development services.


Panellist: Caroline Figueroa

Assistant professor in Digital Health (Faculty of TPM)

Dr. Figueroa is a medical doctor by background and combined her clinical internships for medicine with PhD research on the neuroscience of depression at the University of Amsterdam. Dr. Figueroa focuses her research on developing and testing personalized digital health tools to help individuals lead healthier lives. She focuses on tailoring these tools to the needs of underserved populations, such as people from ethnic and gender minority backgrounds, low-income individuals, and those with severe mental illness. Among other projects, she studies mobile apps that use artificial intelligence to help individuals manage their mental health and increase their physical activity. She developed frameworks to conduct digital health research through a social justice and feminist intersectionality approach. 

Panellist: Mikolaj Stryja

PhD on 4D reinforcement learning for cancer treatment (Faculty of AS)

As a member of the Biological Intervention Optimisation AI Lab (BIOLab), the aim of Mikolaj Stryja’s research is to develop novel machine and deep learning methods in order to overcome some of these challenges and further personalize radiotherapy treatments, particularly by using Generative Adversarial Networks (GANs) and Reinforcement Learning (RL) approaches. By focusing on both algorithmic innovation and practical implementation aspects, he believes his research will contribute to more accurate and effective radiotherapy treatments, ultimately having a positive impact on patients’ lives. 

Panellist: Marcela Tuler de Oliveira

Assistant Professor in Trustworthy Data Systems (Faculty of TPM)

Dr. ir. Marcela Tuler de Oliveira stands out as a Telecommunications Engineer shaping the future of cross-organizational data sharing. Her expertise lies in leveraging Distributed Ledger Technology (DLT) for secure, traceable, and accountable data platforms, with impactful solutions spanning sectors like healthcare, aviation, and smart cities. As the task leader for the H2022 EU ExtremeXP project (2023-26), she’s driving innovations in data management and access control using DLT. Besides her research, she’s a passionate educator at TU Delft, teaching and mentoring the next wave of tech innovators.


Panellist: Sepinoud Amizi

Assistant Professor in Biomedical Data Analytics (Faculty of TPM)

Sepinoud received her PhD in 2015 from Åbo Akademi University (Finland) and she holds the title of Docentship (equivalent to Associate Professor) in Computer Science at Åbo Akademi University since 2018. She has 10+ years of professional experience in teaching and research on biomedical topics, and data analytics. Her main research interests are developing explainable AI (XAI) approaches in critical domains, e.g., medical application domain and the use of AI in identifying blind spots related to inclusion and diversity. She is also a passionate advocate for women involvement in technological fields and was the “Women in Science (WiDS) Ambassador” in Finland from 2019 to 2023. As a side research interest, she is also looking into using AI for gender equality and try to use data to make the world a better place to live for all people from all genders and backgrounds.

About the Delft AI (Lab) Lunch series

The Delft AI (Lab) Lunch is a monthly meet-up hosted by the TU Delft AI Labs & Talent community at Mondai | House of AI. Every month, a Delft AI Talent moderates a panel to discuss challenges and developments made in their field. During these events, you can participate, learn, make connections, inspire and be inspired by and with the Delft AI Labs & Talent community. We invite all interested staff and students from TU Delft to join these sessions. Please contact community manager Charlotte Boelens for more information about this series or the TU Delft AI Labs & Talent Programme.

Join this series in 2024 on:  15 February | 21 March | 18 April | 16 May | 4 June: Spring Symposium | 13 June | 11 July


Note for TU Delft PhDs

The TU Delft AI Lunch series is eligible for earning discipline related skills GSC with the 'Form for earning GSC for TU Delft AI(-related) seminars'. Check with your local Faculty Graduate School (FGS) if your FGS offers this option for earning Discipline Related Skills GSC; and with your supervisors if they accept our seminars on your Doctoral Education (DE) list. If you already have form, don’t forget to bring it with you.