Sera Aylin Cakiroglu
About Sera Aylin Cakiroglu
Sera Aylin Cakiroglu is a Senior AI Scientist at BenevolentAI, specializing in machine learning techniques for precision medicine applications.
Title and Current Role
Sera Aylin Cakiroglu holds the title of Senior AI Scientist at BenevolentAI. In her current role, she leads a multidisciplinary team focusing on evaluating workflows and machine learning techniques for subtyping and target identification from heterogeneous omics, genetics, and clinical data. She also developed a data-driven endotyping platform that integrates unsupervised clustering techniques on electronic health records and genetics for precision medicine applications.
Previous Positions
Sera Aylin Cakiroglu has a substantial background in research and academia. She served as a Postdoctoral Research Fellow at The Francis Crick Institute from 2015 to 2019 in London. Prior to that, she worked at Cancer Research UK as a Postdoctoral Research Fellow in 2014 and 2015 at the London Research Institute. From 2009 to 2013, she was a Full Time PhD student at Queen Mary, University of London. Earlier in her career, she worked as a self-employed mathematician at Physikalisch-Technische Bundesanstalt in 2008 and also studied as a PhD student at TU Braunschweig from 2008 to 2009.
Education and Expertise
Sera Aylin Cakiroglu completed her Doctor of Philosophy (PhD) in Mathematics at Queen Mary, University of London from 2009 to 2013. She also holds a German Diploma in Mathematics and Computer Science from Technische Universität Carolo-Wilhelmina zu Braunschweig / TU Braunschweig, which she completed from 2001 to 2007. Her expertise spans various domains, including software development, combinatorics, graph theory, design and analysis of experiments, genomics, deep learning, and health informatics.
Collaborations and Projects
Throughout her career, Sera Aylin Cakiroglu has engaged in interdisciplinary collaborations with experimental biologists and medical doctors. She has served as the AI lead on a workflow for chronic kidney disease (CKD) in collaboration with AstraZeneca. Her work aims to improve patients' lives by advancing knowledge of genotype-phenotype associations within the context of disease.
Research Focus
Sera Aylin Cakiroglu's research portfolio is diverse, encompassing both theoretical and applied domains. Her work includes contributions to software development, combinatorics, graph theory, design and analysis of experiments, genomics, deep learning, and health informatics. Her efforts are directed towards improving precision medicine through advanced machine learning techniques and data-driven platforms.