Jean Feng

We’re hiring for three positions:

  1. a post-doc to work on post-market monitoring of ML algorithms
  2. a post-doc to work on LLM auditing
  3. a post-doc/data scientist to be part of the ZSFG Predictive Analytics group

Postdoctoral researcher on causal inference for monitoring machine learning algorithms

The project:

After a machine learning (ML)-based system is deployed, monitoring its performance is important to ensure the safety and effectiveness of the algorithm over time. When an ML algorithm interacts with its environment, the algorithm can affect the data-generating mechanism and be a major source of bias when evaluating its standalone performance, an issue known as performativity. Although prior work has shown how to validate models in the presence of performativity using causal inference techniques, there has been little work on how to monitor models in the presence of performativity. The goal of this project is to bring together techniques from causal inference and statistical process control to develop a comprehensive framework for post-market monitoring of ML algorithms. This work builds on a number of our previous works, including this paper that was published at the Conference of Causal Learning and Reasoning (CLeaR) and was presented at the NeurIPS Regulatable AI workshop.

We are seeking a postdoctoral researcher to join our lab. The primary responsibilities are:

Our team is highly collaborative and includes members with wide-ranging expertise:

The position:

We are looking to hire a postdoctoral researcher to join the team. The position (100% funded) will be for two years. Salary and benefits are competitive.

Qualifications:

The post-doctoral researcher position requires at least a PhD degree in (bio)statistics, computer science, data science, or another relevant field. We are looking for someone who:

Applying

If you are interested, please submit the following materials to :

Screening of applicants will begin immediately and will continue as needed throughout the recruitment period.

Posted 3/31/2024

Postdoctoral researcher on LLM auditing

The project:

The unprecedented ability of large language models (LLMs) to interpret text data with human-like reasoning is poised to transform many fields. Nevertheless, for LLMs to be safe and effective for use in high-risk domains like healthcare, it is crucial to understand biases embedded in this technology, as it has been shown to vary in performance across subgroups and even discriminate against minorities. This project aims to study and develop red-teaming solutions to audit LLMs and to understand the limits of current approaches. Methodologies developed in this project will be tested on real-world clinical data, including unstructured notes. This project is a supplement of our existing PCORI project “Diagnostic Tools for Quality Improvement of Machine Learning-Based Clinical Decision Support Systems” (see project description here).

We are seeking a postdoctoral researcher to join our lab. The primary responsibilities are:

Our team is highly collaborative and includes members with wide-ranging expertise:

The position:

We are looking to hire a postdoctoral researcher to join the team. The position (100% funded) will be for two years. Salary and benefits are competitive.

Qualifications:

The post-doctoral researcher position requires at least a PhD degree in data science, (bio)statistics, computer science, or another relevant field. We are looking for someone who:

Applying

If you are interested, please submit the following materials to :

Screening of applicants will begin immediately and will continue as needed throughout the recruitment period.

Posted 3/1/2024

Postdoctoral researcher/senior data scientist on the ZSFG Predictive Analytics team

The project:

Zuckerberg San Francisco General Hospital is at the forefront of applying artificial intelligence and machine learning (AI/ML) to help improve outcomes in vulnerable and underserved populations. We are growing the hospital’s predictive analytics team, whose charter is to leverage large datasets to improve patient care for all. Our team is dedicated to the development and testing of ML algorithms that support the hospital’s performance improvement efforts, with an emphasis on health equity and algorithmic fairness. We are committed to the translation of these algorithms into clinical practice and will be embedding all our algorithms into various clinical systems including the electronic health record (EHR) for rigorous testing and monitoring.

We are seeking a postdoctoral researcher/senior data scientist to join our team. The primary responsibilities are:

Our predictive analytics team is highly collaborative and includes team members with wide-ranging expertise:

The position:

We are looking to hire a postdoctoral researcher/data scientist to join the team. The position (100% funded) will be for one year, with the possibility of extension. Salary and benefits are competitive.

Qualifications:

The post-doctoral researcher/data scientist position requires at least a PhD degree or equivalent experience in data science, (bio)statistics, computer science, or another relevant field. We are looking for someone who:

Applying

If you are interested, please submit the following materials to :

Screening of applicants will begin immediately and will continue as needed throughout the recruitment period.

Posted 11/20/2023

The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.