TEAM: Rewrite GV's bio in third-person voice

Author: HenrikBengtsson

src/team.qmd

@@ -62,17 +62,17 @@ Rachael V. Phillips, PhD is a Biostatistician at the UC Berkeley Research Center
 ![](assets/Valdes_Gilmer.webp){.left-aligned-img}
 
 With a background in medical physics, fellowship, and residency in
-Therapeutic Medical Physics, I specialize in machine learning for
+Therapeutic Medical Physics, Gilmer Valdes, PhD, specializes in machine learning for
 personalized treatment predictions, focusing on prostate and thoracic
-cancers. My recent work emphasizes enhancing model interpretability
+cancers. His recent work emphasizes enhancing model interpretability
 through methods like MediBoost, Additive Tree, and Representational
 Gradient Boosting. As Vice Chair of Machine Learning and Director of
-Clinical AI at Moffitt Cancer Center, I lead clinical AI adoption and
-collaborative ICTML projects. I also develop R and Python packages for
+Clinical AI at Moffitt Cancer Center, Gilmer lead clinical AI adoption and
+collaborative ICTML projects. Gilmer also develop R and Python packages for
 cancer analysis (EAML, LINAD, Lockout) and previously directed UCSF's
-“Advanced Machine Learning” course. Awarded an NIH BIBK08, my
+“Advanced Machine Learning” course. Awarded an NIH BIBK08, Gilmer's
 experience in algorithm development, education, and clinical AI
-application equips me to advance ICTML's tools for cancer research.
+application equips him to advance ICTML's tools for cancer research.
 
 :::