Welcome! I'm Marlena, a PhD candidate studying computational medicine and bioinformatics at the University of Michigan. I research statistical and data-driven approaches for understanding connectivity dynamics in functional brain networks. I am co-mentored by both Chandra Sripada and Danai Koutra as part of the GEMS lab. My research is supported by the National Science Foundation Graduate Research Fellowship, with two years of prior support from the Bioinformatics Training Grant.
In addition to my research I'm involved in several outreach activities aimed at providing STEM education to underserved communities, including FEMMES and the Executive Committee of DCMB Girls Who Code. I'm also an avid distance runner, dog and cat mom, and the owner of a small custom knitting shop.
October 2020: 📖. Submitted Publication: Marlena Duda, Danai Koutra, Chandra Sripada. Validating Dynamicity in Resting State fMRI with Activation-Informed Temporal Segmentation. Preprint.
October 2020: Presented posters at Michigan Precision Health Symposium 2020 and Michigan AI Symposium 2020.
Summer 2020: Internship at Genentech: Clinical Pharmacology - Machine Learning and AI.
Built a pan-cancer machine learning model for tumor growth inhibition - overall survival (TGI-OS) prediction
Poster accepted for American Society for Clinical Pharmacology and Therapeutics (ASCPT) Annual Meeting 2021. 🏅 Awarded Presidential Trainee Award and 🏅 Top Poster Ribbon.
July 2020: Organized virtual Girls Who Code @ UM DCMB Detroit Data Science Summer Experience coding camp.
June 2020: Presented poster at Organization for Human Brain Mapping (OHBM) Annual Meeting (virtual).
November 2019: Contributed to writing: U of M Precision Health Investigator Award, "Characterizing and Understanding Time-varying Functional Connectivity States via Network Science and Deep Neural Networks". PI Danai Koutra, Co-I Chandra Sripada.
October 2019: Completed my first ever Chicago Marathon! 🏃🏼♀️
September 2019: Won 🏅 top poster award at ACNN Big Data Neuroscience Workshop for my poster and lightning talk: "Data-Driven Approaches for Investigating Functional Connectivity Dynamics in Resting State fMRI"
August 2019: 📖 Co-authored Publication: Yujun Yan, Jiong Zhu, Marlena Duda, Eric Solarz, Chandra Sripada and Danai Koutra. 2019. Interpretable Neural Network-based Classification of Limited, Noisy Brain Data. In KDD '19: The 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, August 4-8, 2019, Anchorage, AK, USA. ACM, New York, NY, USA. (Accepted).
July 2019: Hosted the first annual Girls Who Code @ UM DCMB Detroit Data Science Summer Experience week-long coding camp.
July 2019: Presented my poster "Data-Driven Approaches for Investigating Functional Connectivity Dynamics in Resting State fMRI" at the Michigan Neuroscience Conference in Ann Arbor, MI.