AIquitas
Team Members
Alexander Chih-Chieh Chang is a second-year MD-PhD student in the Pitt-CMU Medical Scientist Training Program. His Ph.D. program is in Computational Biology in the Adrian Lee/Steffi Oesterreich lab. His current work focuses on integrating multiple data modalities to advance bench research and clinical care in cancer and precision medicine. He has previously worked on projects examining machine learning approaches to classifying cellular morphology, predicting radiation oncology treatment plans, and molecular tracking in confocal microscopy.
Katelin Lauren Rimando Avenir is a first-year graduate student of the Master’s of Healthcare Analytics and Information Technology program of Heinz College at Carnegie Mellon University. She has previously worked on data validation, data automation, and data manipulation with large electronic health record data and clinical data. Her interests include using data science methods such as machine learning to explore and solve different healthcare problems and health disparities.
Aditya Singh is a graduate student studying Intelligent Information Systems at Carnegie Mellon. He has published multiple research papers exploring the use of deep learning and radio signals. His research interests focus on improving and designing new speech and NLP-based systems. Aditya is passionate about using data and machine learning to build strategies that can improve inequity, bias, agriculture, and mental health. Recently he has been working on more applied work to enhance the quality of information found in real-world data.
Anirudh Vaidhyaa Venkatasubramanian is a second-year graduate student pursuing his Master's in Healthcare Analytics and Information Technology degree from Carnegie Mellon University. He previously worked with pioneering firms in consulting, ZS, and ZoomRx, delivering analytics, technology, and strategy for top pharmaceutical companies in the US. His key areas of focus in healthcare includes improving access and affordability of care and ensuring accountability of health systems.
Shiqi Liang is a first-year graduate student of Information Systems and Management, Business Intelligence & Data Analytics at Carnegie Mellon University. In the past, she has worked as a data science intern in healthcare, focusing on outlier detection and fraud detection with machine learning. She hopes to combine her undergraduate mathematical background with data science to help minimize inequality.
Kate Yuwei Guo is a second-year graduate student of the Master of Design for Interaction Design at Carnegie Mellon University. Her expertise includes design research, user experience design, and product development. She creates design solutions that reach users through many touch points over time and facilitate experiences that provide profit and benefits for the service provider and valuable and desirable services for the end user.
Rabira Jemal Tusi is a second year MD-PhD student in the Pitt-CMU Medical Scientist Training Program. His Ph.D. program is in Program in Computational Neuroscience (PNC) in Dr. Pulkit Grover's Lab. His current work focuses on using machine learning to develop selectively inhibitory current waveforms to block the propogation of C-fiber signaling and mediate pain. He has previously worked on closed loop stimulation paradigms for the managment of OCD and creating efficient machine learning models for the detection of ictal signatures.
Rema Padman is Trustees Professor of Management Science and Healthcare Informatics in the College of Information Systems and Public Policy at Carnegie Mellon University and Adjunct Professor in the Department of Biomedical Informatics at the University of Pittsburgh School of Medicine. Her research investigates healthcare informatics, data-driven decision support, and process modeling and risk analysis in the context of clinical and consumer-facing information technology interventions in healthcare delivery and management, such as e-health, m-health, chronic and infectious disease management, and workflow analysis. She has published extensively, received several Best Paper awards, the IBM Faculty Award, and CMU Teaching Excellence awards. Her current research has a major focus on digital therapeutics for improving health literacy of both individuals and the population.