Hey there! My name's Ashenafee, but most people know me as Ash. I am a graduate student in the Master of Science in Applied Computing (MScAC) program at the University of Toronto, specializing in the intersection of Deep Learning and Computational Genomics.

My current research and professional work focus on building robust representation learning models to understand complex biological systems. Most recently, I've been focused on analyzing genetic perturbation effects and developing multi-modal tools for biological discovery.

• insitro | Data Science & ML Research Intern: Recently contributing to developing generative models for perturbation prediction using high-dimensional transcriptomic data.
• Lin Lab (UofT) | Research Student: Designed and implemented computer vision pipelines for live tracking of zebrafish in video streams (Department of Cell and Systems Biology).
• Dynamic Graphics Project (DGP) | Research Student: Collaborated on VR tools for rapid prototyping (Department of Computer Science).

• MSc in Applied Computing, University of Toronto (In Progress)
• Honours BSc in Bioinformatics & Computational Biology, University of Toronto
  • Double Major in Computer Science and Neuroscience

• Machine Learning: Foundation Models, Representation Learning, Generative Modelling.
• Biology: Computational Genomics, Single-cell Analysis, CRISPR Perturbational Screens.

Feel free to check out my LinkedIn or personal website to learn more about my work. I'm always excited to connect with like-minded individuals and collaborate on impactful projects!