Annette John
M.Sc. Student · DANSA Lab
I am a Master’s student in Computer Science at the University of Calgary. My research focuses on advancing Digital Twin technology for prostate cancer prognosis, leveraging state-of-the-art methods such as Multitask Mixture-of-Experts and Causal Inference to build predictive and prescriptive healthcare models. I am fascinated by the transformative potential of technology to address complex problems once thought unsolvable.
My technical interests span backend development, distributed systems, data engineering and machine learning. Previously, I worked as a Software Engineer at Credit Suisse (now part of the UBS Group), developing international trading and payment systems. I hold a bachelor’s degree in computer engineering from India.
At UCalgary, I have served on committees including the Data-Driven Software Science Hiring Committee, Space Task Force, and Curriculum Evolution Committee. I am also committed to outreach and mentorship, having guided high-school students through Technovation Girls Calgary. As a Teaching Assistant, I have supported multiple courses (CPSC 471, 331, 433, DATA 221, 601, 604, 605), and I find great joy in teaching and learning alongside students.
Outside academics, I enjoy Formula 1, reading science fiction, cinema, hiking, fitness, and exploring new food spots. Music is my constant companion—you will almost always see me with headphones on, with my playlists ranging from ghazals to hard rock, spanning languages around the world.