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: 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.