(Human + Machine) Learning Lab

Join us

The HPML lab is often looking for students who are interested in working on research projects like those in the lab. We are an interdisciplinary group, and welcome students from any academic background provided there is some alignment between student interests, experience, and lab projects.

We study research questions ranging from machine learning methods to educational theory, and value the many different experiences students bring to research. Prospective students should familiarize themselves with lab expectations. If you’re excited to do interdisciplinary research with a group of people from diverse backgrounds, please do consider joining the lab.

Prospective PhD students

PhD students typically contribute to ongoing lab projects as well as their own research projects developed during graduate school.

Prospective PhD students can join the lab by applying through one of several different PhD programs depending on interest. All students are expected to work on interdisciplinary projects, but programs have different areas of emphasis.

Master’s students at UIUC

Master’s students in the Information Management and Library and Information Science MS programs sometimes participate in lab research. These are professional master’s degrees, rather than research degrees, so lab participation usually involves an independent study related to the student’s interest. Independent studies may include programming, data analysis, paper writing, or other activities.

Research opportunities available for independent studies are usually posted on a shared page for all iSchool faculty here.

Undergraduate students at UIUC

Undergraduate students in the lab typically assist PhD students and advanced master’s students involved in long-term projects. Undergraduates may assist in every stage of the research, from data collection to publishing results, depending on interest and experience.

Undergraduate research can be done via a few different programs:

Undergraduate students can also apply for research funding to do research with costs associated with it, like paying participants to complete a survey or try out a new user interface.