Welcome to the Loyola Adventures in Urobiome Data (L.A.U.D.) Summer Research Program!
Technological advances have had a profound effect on medicine. A patient’s genome and his/her microbial communities can be sequenced, gene expression can be quantified, protein production and interactions can be qualified, and the biochemical interactions throughout a system can be identified and quantified. This deluge of data has led to new discoveries and new fields, including the field of bioinformatics. This has paralleled the emergence of yet another field: health informatics, which employs data mining and machine learning approaches to extrapolate new correlations, causations, and connections within electronic medical records (EMR). This influx of data has transformed biomedical research, as well as patient care.
The Loyola Adventures in Urobiome Data (L.A.U.D.) summer research program will introduce students to ways in which data is revolutionizing research in urinary disease research. Over the course of 8-weeks, summer researchers will gain exposure to current research areas in benign urologic disease, conduct hypothesis-driven research, and develop the skills to synthesize, interpret, and present their scientific research! Summer researchers will work with research faculty, postdoctoral and clinical fellows, medical and graduate students currently engaged in urinary research at Loyola University Chicago.
- Program will be 8 weeks – June 6 through July 29
- The 2022 summer program includes projects for participation either hybrid (combination of in-lab and online) or online only
- The 2022 summer cohort will consist of 6 participants total
- Participants will be paid a $6000 stipend
- This is a full-time commitment. Participants will be engaged during normal business hours (CST) Monday-Friday.
Research Projects for 2022:
- Applications Closed
- Applications due: March 1, 2022
- Decisions announced: March 18, 2022
Who should apply?
Individuals meeting the eligibility requirements (listed below) who are interested in how data drives medical research and clinical practice and/or urology.
- Demographic data
- Brief statement outlining research interests and prior relevant experience
- Unofficial transcript
- Contact information for one letter of recommendation from a STEM faculty.
- U.S. citizens or permanent residents, AND
- Enrollment requirement:
- Currently enrolled at least half-time in and accredited college (including community college) or university as an undergraduate at the Sophomore, Junior or Senior level, OR
- Recently (within last 2 years) completed bachelor’s degree.
- Genetics or Cell Biology lecture courses
- Statistics course (which included R programming) or Introductory Programming (Java, C/C++, Python)
Have questions? Contact Ms. Novak at firstname.lastname@example.org. Please put "L.A.U.D. 2022" in the Subject Line.