Lyndon James is a Ph.D. Candidate in Health Policy at Harvard University (Decision Sciences track). For FEND, he applies mathematical modeling to identify the optimal diagnostic algorithm for drug-resistant tuberculosis. Lyndon’s doctoral dissertation work uses a mix of decision science and causal inference methods to improve the diagnosis and treatment of drug-resistant TB, taking into account clinical outcomes, cost-effectiveness, and the potential downstream consequences of new drug resistance acquired during treatment. His wider research and policy interests include incorporating equity into cost-effectiveness analysis, and LGBTQ health. Prior to starting the PhD, Lyndon worked as a medical doctor in London, UK. He holds an MPH from the Harvard T.H. Chan School of Public Health.