Added Dr.Russ profile and Bio

.github/workflows/update-projects.yml

@@ -48,4 +48,5 @@ jobs:
           publish_dir: ./build
           publish_branch: deployed
           keep_files: true
+          force_orphan: true
 

src/components/Speakers/Speakers.js

@@ -18,7 +18,7 @@ const SpeakerRow = ({ speaker, isEven }) => {
                 <Col md={8} className="speaker-info-col">
                     <div className={`speaker-info ${isEven ? 'text-end' : 'text-start'}`}>
                         <h2 className="speaker-name">{speaker.name}</h2>
-                        <p className="speaker-bio">{speaker.bio}</p>
+                        <div className="speaker-bio" dangerouslySetInnerHTML={{ __html: speaker.bio }} />
                     </div>
                 </Col>
             </Row>

src/components/Speakers/speakerData.js

@@ -31,189 +31,49 @@ const speakerData = [
     {
         id: "keynote-1",
         name: "Anastasia Yendiki",
-        bio: `<p><strong>Dr. Poldrack</strong> is a cognitive neuroscientist who uses brain imaging to study how the brain gives rise to the mind. He is also deeply interested in improving the way science is conducted by providing researchers with tools and knowledge to help them perform research that is more reproducible and transparent.</p>
-
-<br>
-
-<p>Dr. Poldrack received his BA in Psychology from Baylor University and his PhD from the University of Illinois at Urbana-Champaign. After completing a postdoctoral fellowship at Stanford University, he held faculty positions at Harvard Medical School, UCLA, and the University of Texas at Austin.</p>
-
-<br>
-
-<p>He is currently the Albert Ray Lang Professor and Chair of the Department of Psychology at Stanford University. More information about his lab's work can be found on the Poldrack Lab website, poldracklab.org. The lab also maintains an online manual outlining its policies, standard operating procedures, and his mentoring philosophy.</p>
-
-<br>
-
-<p>In addition, Dr. Poldrack serves as an Associate Director for Stanford Data Science and as Director of the Center for Open and Reproducible Science.</p>
-
-<br>
-
-<p>He has published several books, including <em>Statistical Thinking: Analyzing Data in an Uncertain World</em> (with an open-source version available online), <em>Hard to Break: Why Our Brains Make Habits Stick</em>, <em>The New Mind Readers: What Neuroimaging Can and Cannot Reveal about Our Thoughts</em>, and <em>Handbook of fMRI Data Analysis</em> (co-authored with Jeanette Mumford and Tom Nichols).</p>
-
-<br>
-
-<p>Dr. Poldrack is currently writing a living textbook on reproducible coding with AI titled <em>Better Code, Better Science</em> and regularly releases new sections of the book through his Substack.</p>`,
+        bio: "Dr. Anastasia Yendiki is an Associate Professor at Harvard Medical School and an Associate Investigator at Massachusetts General Hospital in the Martinos Center for Biomedical Imaging. She received her PhD in Electrical Engineering from the University of Michigan Ann Arbor, where she worked on inverse problems in tomographic image reconstruction. She then completed her postdoc in the Martinos Center where she trained in functional and diffusion-weighted MRI. Her current research focuses on computational methods for mapping white-matter axon bundles with the goal of providing a reliable, non-invasive tool for the study of brain connections in patients with neurologic and psychiatric conditions. Dr. Yendiki has served as a leader in organizing multiple BrainHack events in Boston and for the BRAIN initiative, and has championed open access and building sustainable open-source tools throughout her career.",
         imgPath: "assets/speakers/anastasia_yendiki.jpg",
         link: "https://dmri.mgh.harvard.edu/a-y/"
     },
     {
         id: "panelist-1",
         name: "Adina Wagner",
-        bio: `<p><strong>Dr. Poldrack</strong> is a cognitive neuroscientist who uses brain imaging to study how the brain gives rise to the mind. He is also deeply interested in improving the way science is conducted by providing researchers with tools and knowledge to help them perform research that is more reproducible and transparent.</p>
-
-<br>
-
-<p>Dr. Poldrack received his BA in Psychology from Baylor University and his PhD from the University of Illinois at Urbana-Champaign. After completing a postdoctoral fellowship at Stanford University, he held faculty positions at Harvard Medical School, UCLA, and the University of Texas at Austin.</p>
-
-<br>
-
-<p>He is currently the Albert Ray Lang Professor and Chair of the Department of Psychology at Stanford University. More information about his lab's work can be found on the Poldrack Lab website, poldracklab.org. The lab also maintains an online manual outlining its policies, standard operating procedures, and his mentoring philosophy.</p>
-
-<br>
-
-<p>In addition, Dr. Poldrack serves as an Associate Director for Stanford Data Science and as Director of the Center for Open and Reproducible Science.</p>
-
-<br>
-
-<p>He has published several books, including <em>Statistical Thinking: Analyzing Data in an Uncertain World</em> (with an open-source version available online), <em>Hard to Break: Why Our Brains Make Habits Stick</em>, <em>The New Mind Readers: What Neuroimaging Can and Cannot Reveal about Our Thoughts</em>, and <em>Handbook of fMRI Data Analysis</em> (co-authored with Jeanette Mumford and Tom Nichols).</p>
-
-<br>
-
-<p>Dr. Poldrack is currently writing a living textbook on reproducible coding with AI titled <em>Better Code, Better Science</em> and regularly releases new sections of the book through his Substack.</p>`,
+        bio: "Dr. Adina Wagner is a Scientific Coordinator and Software Developer at the Psychoinformatics Lab at Jülich Research Centre in Jülich, Germany. Her work focuses on advancing open and reproducible scientific practices in neuroscience through open-source software development. She played a key role in developing DataLad, a free and open-source distributed data management system that enhances data tracking, structure, reproducibility, and collaboration while integrating with widely used data infrastructure. Dr. Wagner earned her PhD in neuroinformatics at the Heinrich Heine University Düsseldorf, Germany, with projects intersecting experimental psychology, MEG, and research data management in high throughput computing.",
         imgPath: "assets/speakers/adina_wagner.jpg",
         link: "https://www.adina-wagner.com/"
     },
     {
         id: "panelist-2",
         name: "Jerome Lecoq",
-        bio: `<p><strong>Dr. Poldrack</strong> is a cognitive neuroscientist who uses brain imaging to study how the brain gives rise to the mind. He is also deeply interested in improving the way science is conducted by providing researchers with tools and knowledge to help them perform research that is more reproducible and transparent.</p>
-
-<br>
-
-<p>Dr. Poldrack received his BA in Psychology from Baylor University and his PhD from the University of Illinois at Urbana-Champaign. After completing a postdoctoral fellowship at Stanford University, he held faculty positions at Harvard Medical School, UCLA, and the University of Texas at Austin.</p>
-
-<br>
-
-<p>He is currently the Albert Ray Lang Professor and Chair of the Department of Psychology at Stanford University. More information about his lab's work can be found on the Poldrack Lab website, poldracklab.org. The lab also maintains an online manual outlining its policies, standard operating procedures, and his mentoring philosophy.</p>
-
-<br>
-
-<p>In addition, Dr. Poldrack serves as an Associate Director for Stanford Data Science and as Director of the Center for Open and Reproducible Science.</p>
-
-<br>
-
-<p>He has published several books, including <em>Statistical Thinking: Analyzing Data in an Uncertain World</em> (with an open-source version available online), <em>Hard to Break: Why Our Brains Make Habits Stick</em>, <em>The New Mind Readers: What Neuroimaging Can and Cannot Reveal about Our Thoughts</em>, and <em>Handbook of fMRI Data Analysis</em> (co-authored with Jeanette Mumford and Tom Nichols).</p>
-
-<br>
-
-<p>Dr. Poldrack is currently writing a living textbook on reproducible coding with AI titled <em>Better Code, Better Science</em> and regularly releases new sections of the book through his Substack.</p>`,
+        bio: "Dr. Jérôme Lecoq is a neuroscientist at the Allen Institute leading cortical computation research in behaving animals. He pioneered OpenScope, a revolutionary open neuroscience platform that has democratized access to advanced brain recording technologies and generated extensive public datasets that accelerate neuroscience discovery. This platform enables researchers globally to conduct experiments within the Allen Institute Brain Observatory platform and record neuronal activity across the mouse brain. Before joining the Allen Institute in 2015, Dr. Lecoq completed his postdoctoral work in Mark Schnitzer's group at Stanford and earned his Ph.D. in Neuroscience from Pierre and Marie Curie University in Paris.",
         imgPath: "assets/speakers/jerome_lecoq.jpg",
         link: "https://alleninstitute.org/person/jerome-lecoq/"
     },
     {
         id: "panelist-3",
         name: "Megan Peters",
-        bio: `<p><strong>Dr. Poldrack</strong> is a cognitive neuroscientist who uses brain imaging to study how the brain gives rise to the mind. He is also deeply interested in improving the way science is conducted by providing researchers with tools and knowledge to help them perform research that is more reproducible and transparent.</p>
-
-<br>
-
-<p>Dr. Poldrack received his BA in Psychology from Baylor University and his PhD from the University of Illinois at Urbana-Champaign. After completing a postdoctoral fellowship at Stanford University, he held faculty positions at Harvard Medical School, UCLA, and the University of Texas at Austin.</p>
-
-<br>
-
-<p>He is currently the Albert Ray Lang Professor and Chair of the Department of Psychology at Stanford University. More information about his lab's work can be found on the Poldrack Lab website, poldracklab.org. The lab also maintains an online manual outlining its policies, standard operating procedures, and his mentoring philosophy.</p>
-
-<br>
-
-<p>In addition, Dr. Poldrack serves as an Associate Director for Stanford Data Science and as Director of the Center for Open and Reproducible Science.</p>
-
-<br>
-
-<p>He has published several books, including <em>Statistical Thinking: Analyzing Data in an Uncertain World</em> (with an open-source version available online), <em>Hard to Break: Why Our Brains Make Habits Stick</em>, <em>The New Mind Readers: What Neuroimaging Can and Cannot Reveal about Our Thoughts</em>, and <em>Handbook of fMRI Data Analysis</em> (co-authored with Jeanette Mumford and Tom Nichols).</p>
-
-<br>
-
-<p>Dr. Poldrack is currently writing a living textbook on reproducible coding with AI titled <em>Better Code, Better Science</em> and regularly releases new sections of the book through his Substack.</p>`,
+        bio: "Dr. Megan Peters is an Associate Professor in Cognitive Sciences at the University of California, Irvine, investigating how the brain represents uncertainty and processes noisy, incomplete information. Her work spans cognitive and computational neuroscience, engineering, psychology, cognitive science, and philosophy. She has also transformed computational neuroscience education as Co-founder, President, and Chair of the Board of Neuromatch, where Neuromatch Academy has trained over 15 thousand students across 120 countries through its innovative online platform combining interactive tutorials with hands-on collaborative projects. Dr. Peters earned her Ph.D. in computational cognitive neuroscience (psychology) from UCLA, where she also completed her postdoc.",
         imgPath: "assets/speakers/megan_peters.jpg",
         link: "https://faculty.sites.uci.edu/cnclab/people/"
     },
     {
         id: "panelist-4",
         name: "Katja Heuer",
-        bio: `<p><strong>Dr. Poldrack</strong> is a cognitive neuroscientist who uses brain imaging to study how the brain gives rise to the mind. He is also deeply interested in improving the way science is conducted by providing researchers with tools and knowledge to help them perform research that is more reproducible and transparent.</p>
-
-<br>
-
-<p>Dr. Poldrack received his BA in Psychology from Baylor University and his PhD from the University of Illinois at Urbana-Champaign. After completing a postdoctoral fellowship at Stanford University, he held faculty positions at Harvard Medical School, UCLA, and the University of Texas at Austin.</p>
-
-<br>
-
-<p>He is currently the Albert Ray Lang Professor and Chair of the Department of Psychology at Stanford University. More information about his lab's work can be found on the Poldrack Lab website, poldracklab.org. The lab also maintains an online manual outlining its policies, standard operating procedures, and his mentoring philosophy.</p>
-
-<br>
-
-<p>In addition, Dr. Poldrack serves as an Associate Director for Stanford Data Science and as Director of the Center for Open and Reproducible Science.</p>
-
-<br>
-
-<p>He has published several books, including <em>Statistical Thinking: Analyzing Data in an Uncertain World</em> (with an open-source version available online), <em>Hard to Break: Why Our Brains Make Habits Stick</em>, <em>The New Mind Readers: What Neuroimaging Can and Cannot Reveal about Our Thoughts</em>, and <em>Handbook of fMRI Data Analysis</em> (co-authored with Jeanette Mumford and Tom Nichols).</p>
-
-<br>
-
-<p>Dr. Poldrack is currently writing a living textbook on reproducible coding with AI titled <em>Better Code, Better Science</em> and regularly releases new sections of the book through his Substack.</p>`,
+        bio: "Dr. Katja Heuer is a Postdoctoral Researcher at Institut Pasteur in Paris, France where she studies brain evolution and development, specifically brain organization and folding, using neuroimaging and histology. Dr. Heuer has contributed to the open neuroscience community by developing a host of groundbreaking tools to facilitate access to open data and foster global collaboration. Some of these tools include BrainBox and MicroDraw, allowing researchers to analyze and collaborate on publicly available neuroimaging and histology datasets. Previously, Dr. Heuer completed her PhD in Neuroscience at the Max Planck Institute in Germany.",
         imgPath: "assets/speakers/katja_heuer.jpg",
         link: "https://katjaq.github.io/"
     },
     {
         id: "panelist-5",
         name: "James Booth",
-        bio: `<p><strong>Dr. Poldrack</strong> is a cognitive neuroscientist who uses brain imaging to study how the brain gives rise to the mind. He is also deeply interested in improving the way science is conducted by providing researchers with tools and knowledge to help them perform research that is more reproducible and transparent.</p>
-
-<br>
-
-<p>Dr. Poldrack received his BA in Psychology from Baylor University and his PhD from the University of Illinois at Urbana-Champaign. After completing a postdoctoral fellowship at Stanford University, he held faculty positions at Harvard Medical School, UCLA, and the University of Texas at Austin.</p>
-
-<br>
-
-<p>He is currently the Albert Ray Lang Professor and Chair of the Department of Psychology at Stanford University. More information about his lab's work can be found on the Poldrack Lab website, poldracklab.org. The lab also maintains an online manual outlining its policies, standard operating procedures, and his mentoring philosophy.</p>
-
-<br>
-
-<p>In addition, Dr. Poldrack serves as an Associate Director for Stanford Data Science and as Director of the Center for Open and Reproducible Science.</p>
-
-<br>
-
-<p>He has published several books, including <em>Statistical Thinking: Analyzing Data in an Uncertain World</em> (with an open-source version available online), <em>Hard to Break: Why Our Brains Make Habits Stick</em>, <em>The New Mind Readers: What Neuroimaging Can and Cannot Reveal about Our Thoughts</em>, and <em>Handbook of fMRI Data Analysis</em> (co-authored with Jeanette Mumford and Tom Nichols).</p>
-
-<br>
-
-<p>Dr. Poldrack is currently writing a living textbook on reproducible coding with AI titled <em>Better Code, Better Science</em> and regularly releases new sections of the book through his Substack.</p>`,
+        bio: "Dr. James Booth is the Patricia and Rodes Hart Professor of Psychology and Human Development at Vanderbilt. His research investigates brain mechanisms underlying language, reading, and cognitive development in typical and atypical populations. Dr. Booth is a pioneer in open science, having established the largest openly available developmental neuroimaging dataset globally, with over 1,000 participants and 12,000 scans focused on reading, math, and attention development in children. This resource has enabled numerous researchers to advance our understanding of learning and development. Dr. Booth completed his PhD in Psychology at the University of Maryland, College Park, and his postdoc at Carnegie Mellon.",
         imgPath: "assets/speakers/james_booth.jpg",
         link: "https://www.vanderbilt.edu/psychological_sciences/bio/james-booth"
     },
     {
         id: "panelist-6",
         name: "Yamin Li",
-        bio: `<p><strong>Dr. Poldrack</strong> is a cognitive neuroscientist who uses brain imaging to study how the brain gives rise to the mind. He is also deeply interested in improving the way science is conducted by providing researchers with tools and knowledge to help them perform research that is more reproducible and transparent.</p>
-
-<br>
-
-<p>Dr. Poldrack received his BA in Psychology from Baylor University and his PhD from the University of Illinois at Urbana-Champaign. After completing a postdoctoral fellowship at Stanford University, he held faculty positions at Harvard Medical School, UCLA, and the University of Texas at Austin.</p>
-
-<br>
-
-<p>He is currently the Albert Ray Lang Professor and Chair of the Department of Psychology at Stanford University. More information about his lab's work can be found on the Poldrack Lab website, poldracklab.org. The lab also maintains an online manual outlining its policies, standard operating procedures, and his mentoring philosophy.</p>
-
-<br>
-
-<p>In addition, Dr. Poldrack serves as an Associate Director for Stanford Data Science and as Director of the Center for Open and Reproducible Science.</p>
-
-<br>
-
-<p>He has published several books, including <em>Statistical Thinking: Analyzing Data in an Uncertain World</em> (with an open-source version available online), <em>Hard to Break: Why Our Brains Make Habits Stick</em>, <em>The New Mind Readers: What Neuroimaging Can and Cannot Reveal about Our Thoughts</em>, and <em>Handbook of fMRI Data Analysis</em> (co-authored with Jeanette Mumford and Tom Nichols).</p>
-
-<br>
-
-<p>Dr. Poldrack is currently writing a living textbook on reproducible coding with AI titled <em>Better Code, Better Science</em> and regularly releases new sections of the book through his Substack.</p>`,
+        bio: "Yamin Li is a PhD student in Computer Science at Vanderbilt University's Neuroimaging and Brain Dynamics Lab. She developed NeuroBOLT, an innovative transformer model that translates EEG data into fMRI BOLD signals, with findings presented at NeurIPS 2024. Her commitment to open science is demonstrated through publicly available code repositories and detailed documentation that enable other researchers to build upon her work. Her research applies deep learning to neural decoding and EEG-fMRI translation. She holds a B.E. in Biomedical Engineering from Xi'an Jiaotong University and an M.Sc. in Biomedical Engineering from Shanghai Jiao Tong University.",
         imgPath: "assets/speakers/yamin_li.jpg",
         link: "https://www.vanderbilt.edu/valiant/person/yamin-li/"
     }