The people building CaseCoach.

Kattie Huang

NYU Stern

Data Science and Computing

Kattie brings the product and technical direction behind CaseCoach. Her background in data science and computing shapes how the platform turns interviews into structured inputs, clear evaluation signals, and feedback that feels actionable rather than academic.

She is focused on building a cleaner training loop for consulting candidates: one where practice is easier to run, feedback is more consistent, and progress can be tracked across repeated mocks instead of living in scattered notes.

Jun Hung

Yale University

Ethics, Politics, and Economics and Applied Mathematics

Certificate in Computing, Culture, and Society

Jun brings a cross-disciplinary perspective that combines analytical rigor with judgment, communication, and decision-making. His academic background helps shape how CaseCoach evaluates not only technical correctness, but also the clarity of reasoning and quality of recommendations.

He is especially interested in building feedback systems that better reflect what candidates are actually assessed on in consulting interviews: structured thinking, quantitative discipline, business judgment, and the ability to communicate a point of view under pressure.