Zixin (Jenci) Wei
Engineering Analyst at Goldman Sachs, Student Researcher at Vector Institute
I’m Jenci, an incoming master’s student at Cornell University, with a primary interest in machine learning and its applications to complex real-world problems. I graduated from the University of Toronto with a 4.00/4.00 cumulative GPA, where I focused on artificial intelligence and machine learning. Upon graduation, I received a University of Toronto scholarship recognizing academic excellence in artificial intelligence. I previously worked at Goldman Sachs, developing internal software systems for the firm.
My primary research experience lies at the intersection of machine learning and healthcare, under the guidance of Prof. Rahul Krishnan at the Vector Institute. I studied how machine learning can extract clinically meaningful information from medical imaging and clinical data, with work spanning representation learning, vision transformers, model interpretability, causal inference, and treatment outcome analysis.
I am thrilled to begin this next chapter at Cornell and immerse myself in its machine learning research community. I am excited to explore ambitious research questions, learn from researchers across disciplines, and contribute to projects that combine technical depth with meaningful real-world impact.
Email: (my last name) (at) cs.toronto.edu
