Meet the Team

Lena Mamykina

Principal Investigator, Associate Professor, Graduate Program Director
Department of Biomedical Informatics, Columbia University

Project Interests + Involvement
As a PI on this project I am generally in charge of all the project activities. My specific role, however, is in overseeing all activities related to user-centered research and design. I envision that this project will open new opportunities for conversational agents to more closely align with ways humans participate in conversations and to feel more intuitive and human-like. 

om2196@cumc.columbia.edu 

Iñigo Urteaga

Co-Principal Investigator, Ikerbasque Research Fellow
Basque Center for Applied Mathematics

Project Interests + Involvement
As Co-PI of the project, I am contributing expertise and mentoring on the methodological and applied aspects of machine learning and reinforcement learning. Within this project, we will investigate and develop human-centered, scalable reinforcement learning solutions that align with human expectations.

I envision methodological contributions in the context of health coaching tools, with a broader applicability to other domains and problems.

iurteaga@bcamath.org

Noémie Elhadad

Co-Principal Investigator, Associate Professor, Department Chair
Department of Biomedical Informatics, Columbia University

noemie.elhadad@columbia.edu

Pooja Desai

PhD Student
Department of Biomedical Informatics, Columbia University

Project Interests + Involvement
As a student with a background in human-computer interaction, I am focusing on the “human-centered” aspects of the projects.

In particular, I will be designing and conducting user studies to understand overarching user needs for nutrition support technologies and how RL can support both individually tailored and generally human-centered nutrition guidance.

pmd2137@cumc.columbia.edu

Adit Anand

PhD Student
Department of Biomedical Informatics, Columbia University

Project Interests + Involvement
I am conducting feature engineering and data analysis on patient-provided, free-text meal records to compare computational methods for categorizing the data. I am also contributing towards qualitative analysis that will guide the broader topics this project will address.

This project tackles challenges from a multidisciplinary and user-centered perspective, which I feel makes my contributions as an informatician more meaningful.

adit.anand@columbia.edu