From 36e0211032632fd901de8e45833bc8533369d09b Mon Sep 17 00:00:00 2001 From: Sarah Brown Date: Thu, 7 Aug 2025 11:07:48 -0400 Subject: [PATCH] new projects and opp --- join.md | 33 +++++++++++++++++++-------------- 1 file changed, 19 insertions(+), 14 deletions(-) diff --git a/join.md b/join.md index b80dc84..c332c32 100644 --- a/join.md +++ b/join.md @@ -17,7 +17,7 @@ Undergraduates will almost always spend at least one semester on one of these be ::::{card-carousel} 2 -:::{card} Robust ML evaluation Developer tools +:::{card} Robust ML evaluation Developer tools and AI Agents **building and maintaining Python packages that facilitate other research in the lab including as AI agent tools** @@ -26,13 +26,14 @@ Example tasks: - improve documentation - add new features to support libraries to make other research easier -Build skills in software engineering, project management, and working with other developers. +Build skills in software engineering, project management, and working with other developers. A great opportunity to learn ML from a software perspective Prereq: - CSC392/CSC311 or demonstrated proficiency in git, bash, and IDEs - *and* proficiency in Python ::: + :::{card} When do fair ML algorithms work? **Empirical evaluation of the contexts where fair ML algorithms succeed and fail through intentionally designed biased data** @@ -54,8 +55,8 @@ Prereq: CSC/DSP310 **Robust evaluation of LLMs as decision-makers, assistants, and agents in data-rich contexts with respect to the fairness of the decision making.** Example tasks: -- implement functions to compute custom scores for LLMs on data sicence tasks - collect and manipulate datasets with fairness concerns +- create personas for LLMs to try to make them do better/worse at fair data science - evaluate an LLM through an API Build skills in data science and machine learning @@ -80,6 +81,19 @@ Prereq (one of the following): - other significant Python work and Plotly familiarity ::: + + +:::{card} Documentation + +A low code opportunity is to work on documentation for any of the code tools we develop in the lab. Reading code and understanding it is a good way to learn more, while contributing +written *English* instead of in a programming language. + +::: + +:::: + + + ## Current URI Graduate Students @@ -129,7 +134,7 @@ Graduate students in our lab are in the URI Computer Science MS or PhD program. URI CS Graduate Programs do not use GRE scores, **please do not send them to me**, I will not look at them if you send them via email. ```{important} -I do not anticipate having RA funding for incoming students starting at any time in 2025. +I am actively recruiting a PhD student to start in Fall 2026 with RA funding. ``` I receive many inquiries from prospective students and am unable to reply to all of them. I generally do not set up meetings with prospective students until they are admitted and deciding to atten URI or not. If you request that, I am unlikely to reply. I primarily use these emails for extra information when reading graduate applications, to make your e-mail easy to find, use the subject, `Prospective ML4STS Lab member - ` with the appropriate degree based on what you are applying to selected and send your e-mail to `brownsarahm+ml4sts@uri.edu`. These emails can be favorable if you send something personal about why you want to join the lab, but **I cannot assess your application via email**.