Organisers
Ines P. Machado
Dr. Ines Machado is a Biomedical Engineer and Postdoctoral Research Scientist at the Department of Oncology, University of Cambridge and a College Research Associate at St John’s College developing artificial intelligence and machine and deep learning techniques for the analysis and interpretation of biomedical data, with a particular interest in applying neural networks, multimodal medical data, and computing technology to improve the diagnosis and stratification of patients with cancer. Ines serves as an Advanced Topic Lecturer for the MPhil in Data Intensive Science at the University of Cambridge, where she teaches Medical Image Computing, Machine and Deep learning, Computer Programming, and Critical Skills for Translational Healthcare Technologies. She is the co-chair of the Cambridge AI Club for Biomedicine and the Cambridge MedAI Seminar Series. In addition, she is proud to serve as a co-chair of the Oxbridge Women in Computer Science for the past two editions. She was recently invited to serve as a Research Theme Lead for the Cambridge Brain Cancer Virtual Institute. Ines completed her Ph.D. degree in Biomedical Engineering with a 5-year fully funded Ph.D. Research Grant from the MIT and Harvard Medical School in Boston. Her Ph.D. thesis was supervised by Professors Polina Golland and William Wells III from the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT.
Carrie Anne Philbin
Carrie is a 1st year PhD student at the Raspberry Pi Computing Education Research Centre, supervised by Dr Sue Sentance.
She is a computing education researcher and a mother. My research explores how dialogic interactions with large language model (LLM) chatbots can support K-12 students’ understanding of computer science concepts. With a passion for empowering others through CS education, she brings 20 years of experience, including classroom teaching, creating educational content at the Raspberry Pi Foundation and hosting Crash Course Computer Science on PBS/YouTube.
Yael Konforti
Yael is a PhD candidate at the Computer Science and Technology Department, supervised by Prof. Mateja Jamnik
She is a machine learning and computer vision researcher and a mother to a beautiful 3-year-old girl. Her research interests lie in the intersection of explainable artificial intelligence (XAI) and algorithmic bias mitigation. Before starting her PhD, she worked in industry as a computer vision researcher, specialising in tiny object detection (TOD) in infrared imagery.
Sanaa Sharma
Sanna is a first-year PhD student at the Computer Science and Technology Department. She works on quantum computing architecture for quantum chemistry applications and am supervised by Professor Prakash Murali. Specifically, she works on resource estimation of quantum algorithms in fault-tolerant quantum computing architectures. She has an interdisciplinary education in Chemistry and Physics from IIT Bombay in India.
Oxford
Xiaxia Wang
Hi, I'm Xiaxia, currently a third-year DPhil student at Computer Science department, working in the Data and Knowledge group. This is my third year in OxWoCS and my second year to help with the OxBridge Conference. Really happy to meet you all.
Allison Clements
I am a 3rd year DPhil Student in Computer Science. I have a background in Biomedical and Mechanical Engineering. My current research focuses on multimodal fusion in medical imaging applications. As OxW*CS President this year I am looking forward to solidifying and growing the OxW*CS community. I cannot wait to learn from all the incredible people apart of the OxW*CS!
