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St. Jude Family of Websites
Explore our cutting edge research, world-class patient care, career opportunities and more.
St. Jude Children's Research Hospital Home
- Fundraising
Francisco E Robles, PhD
Member, St. Jude Faculty
On this page:
Contact Information
Francisco E Robles, PhD
MS 222
St. Jude Children's Research Hospital
262 Danny Thomas Place
Memphis, TN 38105-3678 United States
Affiliations
Education
BS – Physics, North Carolina State University, Raleigh, NC BS – Nuclear Engineering, North Carolina State University, Raleigh, NC PhD – Medical Physics, Duke University, Durham, NC Post-Doctoral Fellow – Department of Chemistry, Duke University, Durham, NC Associate Professor – Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA
Honors & Awards
- 2024 Biomedical Optics Express Best Paper Prize for Castelieor Costa et al. “Towards in-vivo label-free detection of brain tumor margins with epi-illumination tomographic quantitative phase imaging,” Biomedical Optics Express, 12 (3), 1621-1634, 2021. Selected from papers published in the volume years for 2021, 2022, and 2023
- 2023 Nature Light Science and Applications’ Rising Stars of Light Award: “A worldwide campaign for the most shining young scientists in optics-related topics”
- 2022-2026 Georgia Tech School of Engineering Dean’s professorship
- 2022 NIH NIGMS Maximizing Investigators Research Award (MIRA)
- 2018-2023 NSF CAREER AWARD, CBET – 1752011
- 2017-2020 Goizueta Foundation Junior Faculty Rotating Professor
- ·2016-2023 Burroughs Wellcome Fund Career Awards at the Scientific Interface (CASI)
- 2013-2016 NIH F32 NRSA Individual Postdoctoral Fellowship
- 2013-2016 Burroughs Wellcome Fund Postdoctoral Enrichment Program (PDEP) Award
- 2011 Carey E. Floyd Graduate Fellow
Research Interests
- Development of label-free optical imaging systems for basic, translational, and clinical applications
- Development of functional and molecular optical methods
- Advancing systems for point of care applications, including hematology, non-invasive in-vivo disease detection, and slide-free pathology
- Advancing computational methods for image analysis and improving imaging capabilities (e.g., speed, SNR, contrast)
- Novel pipelines for high-resolution deep tissue imaging without labels