Homepage Ifeoma Veronica Nwabufo S Website

My name is Ifeoma Veronica Nwabufo. I enjoy writing short stories, talking on events and playing table tennis. Learning is a lifestyle for me. My curious nature makes me learn from books, videos and people. You’d often find me interacting with people as I try to relearn, unlearn and learn. I am currently a PhD student at the Hertie Institute for AI in Brain Health in Tübingen, Germany.

I am also a scholar at the International Max Planck Research School for Intelligent Systems (IMPRS-IS). I am exploring self-supervised methods for understanding medical images. Before that, I was a Research Fellow at the same institute funded by the Cluster of Excellence - Machine Learning for New Perspectives in Science, University of Tübingen. My project was on the visualization of medical images. Specifically, I am using the t-SimCNE method. I have also written a blog on this method which you might want to see.

I was a student in the African Masters of Machine Intelligence (AMMI) programme where I studied for an Msc in Machine Intelligence sponsored by Facebook and Google. I also did an MSc in Mathematical Sciences at the African Institute for Mathematical Sciences (AIMS) in 2020 where I got exposed to the use of computational tools for analysis. I researched on computational learning theory for my MSc thesis and was supervised by Prof. Rehana Patel. Specifically, my MSc project was on “A Combinatorial Characterisation of PAC-Learnability” where I explored a type of learning framework called Probably Approximately Correct Learning. My undergraduate studies was at Kaduna State University (KASU), where I researched on “The Transmission Dynamics of Lassa Fever with Control” under the supervision of Dr.

Patrick Noah Okolo. My research interests include but not limited to: African Institute for Mathematical Sciences - African Masters of Machine Intelligence (AMMI), Senegal, 01/2022 - 10/2022 African Institute for Mathematical Sciences (AIMS), Senegal, 10/2020 - 04/2022 Kaduna State University (KASU), Kaduna, Nigeria, 10/2015 - 12/2019 Project: Segmentation and Social Network Analysis● Researching on segmentation and social network analysis.● The exploration of techniques that would give improved results from clustering experiments.● Identification of influencers in a network.

Created dashboards and reports on Tableau

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