SYMBOLIC AI IN HEALTH CARE
This course is customized for 1st-year PhD and MA students in the biomedical informatics graduate program and also
open to other interested students at Columbia. It provides a detailed overview of symbolic methods.
-
Instructor:
Chunhua Weng
h-index: 37 Info - 3 points
The Future of Personal Health Assistant:
This course integrates the principles of database systems, AI agents, and health informatics. Students will gain expertise in the following areas:
Multimodal Data Engineering:
Ingesting, cleaning, and normalizing heterogeneous data (time-series sensor data, unstructured clinical notes, structured FHIR records)
Agentic Architectures:
Designing LLM-based agents capable of tool use (function calling), planning, and memory management (LangChain, LlamaIndex).
Retrieval-Augmented Generation (RAG):
Implementing vector databases and semantic search strategies optimized for personal health contexts.
Privacy and Ethics:
Understanding HIPAA compliance, differential privacy, and the ethical implications of AI "hallucinations" in health advice.
HCI for Health:
Designing applications and interfaces that foster trust, explainability, and engagement in self-tracking and patient-provider communication.
Domain Knowledge:
Understanding the basics of chronic disease management, personal health monitoring, and clinical decision support.
- 3 points
RES SEM IN BIOMED INFORMATICS
Prerequisite: open to public. Presentations by medical informatics faculty and invited international speakers in medical informatics, computer science, nursing informatics, library science, and related fields.
-
Instructor:
Sarah A Rossetti
Info - 1 points
PROJECTS-BIOMEDICAL INFORMATCS
Research in medical informatics under the direction of a faculty adviser.
-
Instructor:
Noemie Elhadad
Wikipedia h-index: 46 Info -
Instructor:
Chunhua Weng
h-index: 37 Info -
Instructor:
Mohammed Alquraishi
Info -
Instructor:
Andrea Califano
h-index: 77 Info -
Instructor:
Dennis Vitkup
Info -
Instructor:
Raul Rabadan
Wikipedia h-index: 72 Info -
Instructor:
George M Hripcsak
Info -
Instructor:
Olena Mamykina
Info -
Instructor:
Yufeng Shen
h-index: 47 Info -
Instructor:
Karthik Natarajan
h-index: 17 Info -
Instructor:
Gamze Gursoy
Info -
Instructor:
Sarah A Rossetti
Info - 1-12 points
PROJECTS-BIOMEDICAL INFORMATCS
Research in medical informatics under the direction of a faculty adviser.
-
Instructor:
Soojin Park
Info -
Instructor:
Tal Korem
h-index: 18 Info -
Instructor:
Shalmali Joshi
Info -
Instructor:
Matthew McDermott
Info -
Instructor:
Bianca Dumitrascu
Info -
Instructor:
Tarjinder Singh
Info -
Instructor:
Orson Xu
Info - 1-12 points
M.PHIL TEACHING EXPERIENCE
Prerequisite: instructors permission. Participation in medical informatics educational activities under the direction of a faculty adviser.
-
Instructor:
Chunhua Weng
h-index: 37 Info - 2 points
DOCTORAL RESEARCH
Prerequisite: completion of all M.Phil. requirements, and approval of a research proposal by the supervising faculty adviser.
-
Instructor:
Noemie Elhadad
Wikipedia h-index: 46 Info -
Instructor:
Chunhua Weng
h-index: 37 Info -
Instructor:
Raul Rabadan
Wikipedia h-index: 72 Info -
Instructor:
Olena Mamykina
Info -
Instructor:
Soojin Park
Info -
Instructor:
Nicholas Tatonetti
Wikipedia h-index: 36 Info -
Instructor:
Yufeng Shen
h-index: 47 Info -
Instructor:
Sarah A Rossetti
Info -
Instructor:
Gamze Gursoy
Info -
Instructor:
Tal Korem
h-index: 18 Info -
Instructor:
Mohammed Alquraishi
Info -
Instructor:
Bianca Dumitrascu
Info -
Instructor:
Tarjinder Singh
Info - 1-12 points
DOCTORAL DISSERTATION
Prerequisite: completion of all M.Phil. requirements. Ph.D. candidates may be required to register for this course every term during the preparation of the dissertation.
-
Instructor:
Nicholas Tatonetti
Wikipedia h-index: 36 Info -
Instructor:
Sarah A Rossetti
Info - 0 points