We work on better understanding observational data, motivated by real problems in healthcare. For researchers interested in working with challenging real-world data, our collaborations with clinicians at Columbia University and other institutions allow for unique access to patient data along with the opportunity to have a tangible impact on patient care.
We are funded by NSF, NIH, and the James S. McDonnell Foundation.
Key ongoing projects include:
Precision Nutrition Postdoc | Postdoc | Programmer | Grad student | Undergrad
We are seeking a postdoctoral researcher interested in working at the intersection of causal inference and nutrition. HAIL is part of the world's first AL and computational modeling center for precision nutrition and health, funded by NIH's new $170 million Nutrition for Precision Health program. Over the next five years HAIL will lead causal inference of the data collected in this program, which will include a diverse set of data (dietary intake, -omics, social determinants of health, etc) on 10,000 participants across the US. The project is a truly unique opportunity for multimodal causal inference at scale!
We are a highly collaborative and diverse lab with 7 current PhD students who all contribute different skills and perspectives. No experience in nutrition or health research is necessary, only a willingness to learn about the domain. We encourage candidates of all backgrounds to apply, and particularly encourage candidates with nontraditional research paths, or from backgrounds traditionally underrepresented in CS to apply.
Requirements include: a PhD in Cognitive Science, Computer Science, or a related field; and prior AI or ML-related research publications. The position is available immediately, and can be renewed for up to 5 years based on the duration of the project.
To apply, please send a statement of interest, cv, 2-3 representative publications, and email addresses for 2-3 references to samantha.kleinberg@stevens.edu
Candidates are sought with expertise in a subset of the following areas:
-Causal inference
-Analysis of time series data
-Biomedical informatics
-HCI and activity recognition
-Sensor and device development
Requirements include at least one publication in a major AI or ML conference (e.g. IJCAI, AAAI, ICML, NIPS, UAI) along with a PhD in Computer Science or a related field.
Initial appointments will be for one year, but funds are available for further renewal.
To apply, please send a statement of interest, cv, 2-3 representative publications, and email addresses for 2-3 references to samantha.kleinberg@stevens.edu
We are looking for full time staff members who are passionate about advancing research, as well as developing and maintaining software. This position is ideal for someone with an MS or industry experience who would like to be involved in academic research and who is detail oriented.
An MS in Computer Science, Data Science, or a related field is preferred, but is not required for candidates with industry experience. Evidence of well-documented and maintained code is required. Python and Lisp experience are a plus. Initial appointments will be for one year, but funding is available for longer, and positions may continue long-term. Title and duties are negotiable.
To apply, please send a brief summary of your interest and experience, resume or cv, 2-3 code artifacts, and email addresses for 2-3 references to samantha.kleinberg@stevens.edu
We are seeking PhD students interested in the intersection between theory and application. If you're looking for a lab, email your CV and why you think it's a good fit and we can set up a time to talk.
If you are a current Stevens undergraduate student interested in an independent study or summer research experience, email (samantha.kleinberg@stevens.edu) with a brief description of your prior research experience (it's ok if you don't have any!) and what you're looking to get out of a research project.