diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index bcebe6c..b08d444 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -21,6 +21,11 @@ repos:
entry: svgo --multipass
language: system
types: [svg]
+ # plab_logo_dark.svg has paths drawn outside its viewBox; svgo's
+ # optimization stripped attributes (clipPath / overflow handling)
+ # that kept that content visible when scaled. Skip it so the home
+ # page background renders correctly.
+ exclude: '^images/plab_logo_dark\.svg$'
# Runs after the compression hooks so it sees post-compression sizes.
- id: image-size-cap
diff --git a/_data/people.yml b/_data/people.yml
new file mode 100644
index 0000000..015436d
--- /dev/null
+++ b/_data/people.yml
@@ -0,0 +1,317 @@
+# Lab people data, rendered by people.html.
+#
+# One list per role. Each entry has an optional `current` flag:
+# current: true (default — present member, renders as rich card)
+# current: false (alumni — renders as a list item under "Former members")
+#
+# Moving someone to alumni is a one-line edit: set `current: false`,
+# then optionally add `years` and `outcome`. You can keep their image,
+# desc, and social links — the template only renders those for current
+# members, but preserving them keeps history available for later.
+#
+# Card schema (used when current is true or absent):
+# name: string (required)
+# title: string (optional)
+# image: string (required, path under /images/)
+# desc: string (required, supports inline HTML)
+# site: string (optional, personal homepage)
+# github: string (optional)
+# email: string (optional)
+# linkedin: string (optional)
+# scholar: string (optional, Google Scholar URL)
+# bluesky: string (optional)
+# orcid: string (optional)
+#
+# Alumni-list schema (used when current is false):
+# name: string (required)
+# url: string (optional, what to wrap the name in)
+# years: string (optional, e.g. "2017" or "2015-2016")
+# notes: string (optional, HTML-safe parenthetical)
+# outcome: string (optional, HTML-safe trailing "→ ..." text)
+
+pi:
+ name: John Pearson
+ image: /images/john.png
+ site: http://jmxpearson.com
+ github: https://github.com/jmxpearson
+ email: john.pearson@duke.edu
+ linkedin: https://www.linkedin.com/in/jmxpearson
+ bluesky: https://bsky.app/profile/jmxpearson.bsky.social
+ desc: >-
+ John earned his bachelor's degree in physics and math from the University
+ of Kentucky and his PhD in physics from Princeton. He became a neuroscientist
+ at Duke, where he did his postdoctoral training with Michael Platt, working
+ on the neurobiology of reward and decision-making. From 2015 to 2018, he was
+ an Assistant Research Professor in the Duke Institute for Brain Sciences. In
+ 2018, he moved back to the School of Medicine as an Assistant Professor in
+ the Department of Biostatistics & Bioinformatics, and in 2022, he moved
+ to the Department of Neurobiology, where he was promoted to Associate
+ Professor in 2025. In addition, he maintains secondary appointments in the
+ departments of Biostatics & Bioinformatics, Psychology &
+ Neuroscience, and Electrical and Computer Engineering.
+ (cv)
+
+postdocs:
+ - name: Jeff MacInnes
+ current: false
+ url: http://www.jeffmacinnes.com/
+ years: 2017
+ notes: joint with Elizabeth Johnson
+ outcome: University of Washington (postdoc)
+
+ - name: Chintan Oza
+ current: false
+ years: 2015-2016
+ notes: 'joint with Warren Grill'
+ outcome: Consulting (L.E.K.)
+
+ - name: Anne Draelos
+ current: false
+ url: https://draelos.github.io
+ years: 2018-2022
+ outcome: Assistant Professor, University of Michigan
+
+ - name: Scott Smyre
+ current: false
+ years: 2023-2024
+ outcome: Research Scientist, Wake Forest University
+
+ - name: Seth Madlon-Kay
+ current: false
+ years: 2019-2025
+
+graduate_students:
+ - name: Trevor Alston
+ title: Neurobiology PhD Student
+ current: true
+ image: /images/Trevor.jpg
+ github: https://github.com/Trevorules
+ email: trevor.alston@duke.edu
+ linkedin: https://www.linkedin.com/in/trevor-alston
+ desc: >-
+ Trevor is a sixth-year Neurobiology graduate student at Duke
+ University. He holds two Biomedical Engineering Degrees; he received
+ his BS degree from Rutgers University and his MS degree from
+ Northwestern University. His research interest is in Neuroengineering
+ and brain-related technologies. Outside of the lab he likes hanging
+ out with friends, playing games, and watching TV.
+
+ - name: David St-Amand
+ title: Neurobiology Graduate Student
+ image: https://scholars.duke.edu/file/i6468953/image_6468953.JPG
+ scholar: https://scholar.google.com/citations?user=Bc4NeD0AAAAJ
+ github: https://github.com/DavidStA95
+ email: david.st-amand@duke.edu
+ desc: >-
+ David is a third-year graduate student in Neurobiology. He graduated
+ from McGill University, where he received his BS in Psychology and
+ his MS in Neuroscience. His research investigates how efficient
+ coding models can help us understand how information is computed in
+ the retina. Outside the lab, he likes to work out and play games.
+
+ - name: Shiyang Pan
+ title: Electrical and Computer Engineering PhD Student
+ image: /images/shiyang.jpg
+ site: https://waaaaaterfall.github.io
+ github: https://github.com/WaAaaAterfall
+ email: shiyang.pan@duke.edu
+ linkedin: https://www.linkedin.com/in/shiyangpan
+ desc: >-
+ Shiyang is a graduate student in Electrical & Computer Engineering
+ at Duke. She received her Bsc in Applied Mathematics from University
+ of Liverpool and Xi'an Jiaotong-Liverpool University. Her research
+ focuses on developing computational models and real-time methods to
+ understand the activity of large-scale neural populations. When not
+ doing research she enjoys music, reading, and creative writing.
+
+ - name: Caitlin Lewis
+ title: Electrical & Computer Engineering PhD Student
+ image: /images/caitlin.jpg
+ github: https://github.com/clewis7
+ email: caitlin.lewis@duke.edu
+ linkedin: https://www.linkedin.com/in/caitlinllewis/
+ desc: >-
+ Caitlin is a second-year graduate student in Electrical & Computer
+ Engineering at Duke. She received her B.S. in Computer Science and
+ Statistics from the University of North Carolina at Chapel Hill. Her
+ research focuses on developing computational models and open-source
+ software tools for real-time analysis and visualization of large-scale
+ neural data. Outside of the lab, she enjoys reading and playing
+ pickleball with friends.
+
+ # Former graduate students
+ - name: Kelsey McDonald
+ current: false
+ years: 2016-2021
+ outcome: Data Scientist, Labcorp Drug Development
+
+ - name: Robert Gramer
+ current: false
+ url: https://www.massgeneral.org/neurosurgery/doctors/current-residents
+ years: 2016-2017
+ notes: 3rd year medical student
+ outcome: Neurosurgical Resident, Massachusetts General Hospital
+
+ - name: Achint Kumar
+ current: false
+ url: https://achintzeus1994.github.io
+ years: 2021-2022
+
+ - name: Na Young Jun
+ current: false
+ years: 2017-2022
+ outcome: Meta Reality Labs
+
+ - name: Pranjal Gupta
+ current: false
+ years: 2018-2024
+ outcome: data scientist
+
+ - name: Kevin O'Neill
+ current: false
+ url: https://kevingoneill.github.io
+ years: 2018-2024
+ outcome: postdoc, University College London
+
+ - name: Raphael Geddert
+ current: false
+ years: 2019-2024
+ outcome: data scientist, Gilead Sciences
+
+ - name: Daniela de Albuquerque
+ current: false
+ url: https://dannyfa.github.io/
+ years: 2020-2025
+ outcome: Diagnostic Radiology Residency, University of Washington
+
+ - name: Liz O'Gorman
+ current: false
+ years: 2022-2025
+
+ - name: Miles Martinez
+ current: false
+ years: 2020-2026
+ title: Electrical and Computer Engineering PhD Candidate
+ image: /images/miles.jpg
+ github: https://github.com/mdmarti
+ email: miles.martinez@duke.edu
+ linkedin: https://www.linkedin.com/in/miles-martinez-00a496123/
+ desc: >-
+ Miles is a fifth-year graduate student in Electrical and Computer
+ Engineering. He entered Duke through the CNAP program. He currently
+ develops and applies computational methods to understand the neural
+ bases of natural learning. When not doing research, he loves getting
+ outside and hiking or rock climbing — unless it's too cold, in which
+ case you can find him indoors cooking or playing games.
+ outcome: NYU postdoc with Cristina Savin
+
+ - name: Ziyi Gong
+ current: false
+ years: 2024-2026
+ title: Neurobiology Graduate Student
+ image: /images/gong.png
+ scholar: https://scholar.google.com/citations?user=zOKHGPgAAAAJ
+ github: https://github.com/gongziyida
+ email: ziyi.gong@duke.edu
+ desc: >-
+ Ziyi is a fourth-year PhD candidate in Neurobiology. He received his
+ B.S. in Computer Science with minors in Mathematics and Neuroscience
+ from the University of Pittsburgh. He is interested in building
+ mathematical models to summarize, explain, and predict phenomena
+ observed in brains. Currently, he is developing models to explain how
+ songbirds learn to sing. He previously worked with Dr. Nicolas Brunel
+ on the roles of inhibition and inhibitory plasticity in the learning
+ and memory of sequences. Outside of the lab he loves cooking and
+ exercising, and occasionally plays the xiao (Chinese flute).
+ outcome: Tencent Labs
+
+
+research_associates:
+ - name: Lun (Sam) Yin
+ current: false
+ years: 2017-2020
+ outcome: Emory Biostatistics (PhD program)
+
+ - name: Jack Goffinet
+ current: false
+ url: https://scholar.google.com/citations?user=-oXW2RYAAAAJ&hl=en
+ years: 2018-2020
+ outcome: Duke Computer Science (PhD program)
+
+ - name: Qian Kuang
+ current: false
+ years: 2017-2018
+
+ - name: Shariq Iqbal
+ current: false
+ url: https://shariqiqbal2810.github.io
+ years: 2015-2017
+ outcome: USC Computer Science (PhD) → Deepmind
+
+ - name: Xin (Cindy) Chen
+ current: false
+ years: 2016-2017
+ outcome: Data Engineer (Citadel)
+
+ - name: Abhishek Upadhyaya Ghimire
+ current: false
+ url: https://abhishekupadhyaya.github.io/
+ years: 2016-2017
+ outcome: Cloud Security Engineer (Cisco)
+
+ - name: Athelia Rosa Paulli
+ current: false
+ years: 2016-2017
+ outcome: UCLA → Children's National Hospital
+
+undergraduates:
+ - name: Christopher Zhou
+ current: false
+ years: 2022-2025
+
+ - name: Sara Liszeski
+ current: false
+ years: 2021-2023
+ outcome: Columbia Medical School
+
+ - name: Dominic Tanzillo
+ current: false
+ url: https://dominictanzillo.github.io/
+ years: 2020-2021
+ outcome: Duke Medical School
+
+ - name: Daniel Sprague
+ current: false
+ url: https://linkedin.com/in/daniel-sprague-yutaka
+ years: 2020-2021
+ outcome: Harvard Neurobiology
+
+ - name: Chaichontat Sriworarat (Richard)
+ current: false
+ url: https://github.com/chaichontat/
+ years: 2019-2021
+ outcome: Janelia Joint Graduate Program
+
+ - name: Sujal Manojar
+ current: false
+ url: https://www.sujalmanohar.com/
+ years: 2020
+ outcome: 'Hart Leadership Fellow → Baylor College of Medicine'
+
+ - name: Raymond Chen
+ current: false
+ years: 2019
+ notes: Huang Fellow
+
+ - name: Thomas Li
+ current: false
+ url: http://thomasli.me/
+ years: 2018
+ outcome: Vanderbilt Medical School
+
+ - name: Andrew Bartuska
+ current: false
+ url: https://www.linkedin.com/in/andrew-bartuska-649917121
+ years: 2015-2016
+ notes: Senior Thesis
+ outcome: Harvard Medical School
diff --git a/_includes/person.html b/_includes/person.html
index a770ee1..fe85e15 100644
--- a/_includes/person.html
+++ b/_includes/person.html
@@ -1,37 +1,47 @@
-
+ 