Merge description updates

_config.yml

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 remote_theme: daattali/beautiful-jekyll
-title: Stephanie Noble
-author: Stephanie Noble
-description: All things academia.
+title: NeuroPRISM Lab
+author: Stephanie Noble & Hallee Shearer
+description: Neuroscience playground
 
 # --- List of links in the navigation bar --- #
 
 navbar-links:
-  Join us!: "opportunities"
+  Team: "members"
+  Resources: "resources"
   Projects: "projects"
-  CV: /img/SMN_CV_Jan_2024.pdf
-  Publications: "https://scholar.google.com/citations?user=JxQdvn4AAAAJ&hl=en&oi=sra"
+  Publications: "https://scholar.google.com/citations?user=JxQdvn4AAAAJ&hl=en"
+  Join us!: "opportunities"
+
 
 # --- Logo --- #
 
-avatar: "/img/profile_photo_2023_square.png"
+avatar: "/img/avatar.jpg"
 
 # --- Cover image --- #
 

index.html

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 ---
 layout: home
-title: Computational Neuroscientist
-subtitle: advancing precision neuroscience research
-meta-title: Stephanie Noble
-meta-description: Computational Neuroscientist
-share-title: Stephanie Noble
-share-description: Computational Neuroscientist
+title: NeuroPRISM Lab
+subtitle: The Neuroscience Precision Research & Idiographic Statistical Methods Lab
+meta-title: NeuroPRISM Lab
+meta-description: The Neuroscience Precision Research & Idiographic Statistical Methods Lab
+share-title: NeuroPRISM Lab
+share-description: The Neuroscience Precision Research & Idiographic Statistical Methods Lab
 
-cover-img: "/img/net_banner_crop.gif"
+cover-img: "/img/net_banner.gif"
 ---
 
 <!-- <p style="text-align:center;"><font size="+2"><b>About me</b></font></p> -->
 <p align="justify">
-I am an Assistant Professor in the <a href="https://cos.northeastern.edu/psychology/">Psychology Department</a>, <a href="https://bioe.northeastern.edu/"> Bioengineering Department</a>, and <a href="https://web.northeastern.edu/cbhlab/">Center for Cognitive and Brain Health</a> at <a href="https://www.northeastern.edu/">Northeastern University</a> and a Research Affiliate in the <a href="https://medicine.yale.edu/diagnosticradiology/">Radiology & Biomedical Imaging Department</a> in the <a href="https://medicine.yale.edu/">Yale School of Medicine</a> creating computational and statistical tools for precision neuroscience research. My use of "precision neuroscience" is intended to invoke both measurement theory and precision medicine concepts.
+The Neuroscience Precision Research & Idiographic Statistical Methods (NeuroPRISM) Lab, led by <a href="members">Dr. Stephanie Noble</a> in the <a href="https://cbh.northeastern.edu/">Institute for Cognitive and Brain Health</a> at <a href="https://www.northeastern.edu/">Northeastern University</a>, creates computational and statistical tools for precision neuroscience research. Our use of "precision neuroscience" is intended to invoke both measurement theory and precision medicine concepts.
 <br><br>
-My research aims to use <b>fundamental measurement principles</b> and <b>individual-centered methods</b> to advance <b>brain-behavior understanding and prediction</b>. To set the stage for this research program, I have developed approaches to improve detection of brain-behavior relationships based on my work characterizing measurement and signal properties. Furthermore, I have a longstanding commitment to providing <b>best practices for machine learning and big data analysis</b>, especially for predicting psychiatric and developmental outcomes. The overarching motivation for these goals is one that the field is growing to embrace: more precise inferential and predictive methods are needed to accelerate discovery in health and disease. Many neuroscience-related research areas have faced an explosion in the size and complexity of data and methods, and I aim to explore solutions to problems that span disciplines.
+We aim to use <b>fundamental measurement principles</b> and <b>individual-centered methods</b> to advance <b>brain-behavior understanding and prediction</b>. To set the stage for this research program, we have developed approaches to improve detection of brain-behavior relationships based on our work characterizing measurement and signal properties. Furthermore, we have a longstanding commitment to providing <b>best practices for machine learning and big data analysis</b>, especially for predicting psychiatric and developmental outcomes. The overarching motivation for these goals is one that the field is growing to embrace: more precise inferential and predictive methods are needed to accelerate discovery in health and disease. Many neuroscience-related research areas have faced an explosion in the size and complexity of data and methods, and we aim to explore solutions to problems that span disciplines.
 <br><br>
-I previously completed my BSE in <a href=https://cbe.princeton.edu/>Chemical and Biological Engineering</a> at <a href=https://www.princeton.edu/>Princeton University</a>, my PhD in the <a href="https://medicine.yale.edu/INP/">Interdepartmental Neuroscience Program</a> at <a href="https://www.yale.edu/">Yale University</a> with <a href="https://seas.yale.edu/faculty-research/faculty-directory/todd-constable">Dr. Todd Constable</a>, and my Postdoctoral Research in the <a href="https://medicine.yale.edu/diagnosticradiology/">Radiology & Biomedical Imaging Department</a> at the <a href="https://medicine.yale.edu/">Yale School of Medicine</a> with <a href="https://seas.yale.edu/faculty-research/faculty-directory/dustin-scheinost">Dr. Dustin Scheinost</a>.
-My experiences also extend beyond academia: before the PhD, I was co-founding Chief Scientific Officer of goBlue Labs (<a href="https://www.newhavenindependent.org/index.php/archives/entry/start-up_tries_to_tap_mind_power/">selected media</a> and <a href="https://www.cravingtoquit.com/">Craving to Quit</a> product; now <a href="https://www.inknowvation.com/sbir/companies/mindsciences-inc">Mindsciences</a>), and a consultant for <a href="https://www.sbir.gov/sbirsearch/detail/311720">Source Signal Imaging</a> (now part of <a href="https://cortechsolutions.com/">Cortech Solutions</a>). I am currently a consultant for <a href="https://opencorporates.com/companies/us_va/11128712">Elite Warrior Identification</a>.
-<br><br>
-Want to get in touch? I'm always open to new opportunities and collaborations&mdash;don't hesitate to contact me through any of the links below.
-<br>
-<hr>
+Want to get in touch? We are always open to new opportunities and collaborations&mdash;don't hesitate to contact us through any of the links below.
 <br>
-<b>Update: The Neuroscience Precision Research & Idiographic Statistical Methods (NeuroPRISM) is now hiring! Learn more about new and ongoing opportunities <a href="https://sneuroble.github.io/opportunities">here</a>.
 </p>

members.md

@@ -0,0 +1,56 @@
+---
+layout: page
+title: Team
+---
+
+<div style="display: flex; align-items: top; margin-bottom: 40px;">
+    <div style="flex: 30%; margin-right: 20px;">
+        <img src="img/steph.png" alt="Stephanie Noble" width="250">
+    </div>
+    <div style="flex: 70%;">
+        <h2>Dr. Stephanie Noble</h2>
+        <div style="font-style: italic;">Principal Investigator</div>
+        <p style="font-size: 16px;"><a href="https://cos.northeastern.edu/psychology/">Dr. Stephanie Noble</a> is an Assistant Professor in the <a href="https://cos.northeastern.edu/psychology/">Department of Psychology</a>, <a href="https://bioe.northeastern.edu/">Department of Bioengineering</a>, and <a href="https://web.northeastern.edu/cbhlab/">Institute for Cognitive and Brain Health</a> at <a href="https://www.northeastern.edu/">Northeastern University</a> where she focuses on creating tools to facilitate more precise human neuroscience inference and prediction. Her research lies at the intersection of data science, neuroscience, and open science. Specifically, her work has addressed open questions and introduced new paths forward to facilitate more reliable and valid neuroimaging studies, and paves a way towards improving individual-level models of behavior and disease. Previously, Dr. Noble received a BS in Chemical & Biological Engineering from Princeton University, a PhD in the Interdepartmental Neuroscience Program at Yale University, and completed Postdoctoral training in Radiology & Biomedical Imaging at Yale. Beyond academia, she co-founded EEG startup goBlue Labs and served a consultant for Source Signal Imaging (now part of Cortech Solutions) and Elite Warrior Identification. Dr. Noble’s work has been supported by a number of awards, including from the NSF and NIH, and her work has appeared in various journals including PNAS, Nature, and Neuron.
+        <br><i><a href="/img/SMN_CV.pdf">Curriculum Vitae</a></i>
+        </p>
+    </div>
+</div>
+
+<div style="display: flex; align-items: top; margin-bottom: 40px;">
+    <div style="flex: 30%; margin-right: 20px;">
+        <img src="img/alex.jpeg" alt="Alex Fischbach" width="250">
+    </div>
+    <div style="flex: 70%;">
+        <h2>Alex Fischbach</h2>
+        <div style="font-style: italic;">PhD Candidate</div>
+        <p style="font-size: 16px;">Alex Fischbach is a sixth-year PhD candidate whose research focuses on measurement precision and data-driven method development for functional brain imaging (fMRI). She graduated from Providence College (PC) in 2017 with dual B.A. degrees in Psychology and Biology and a certificate in Neuroscience. During her undergraduate training, she conducted research at both PC and Brown University, investigating the neurobiological, environmental, and genetic antecedents of Body Dysmorphic Disorder and disorders of anxiety and fear. She earned her M.S. (2020–2023) while working with Dr. Lisa Feldman Barrett and Dr. Karen Quigley in the Interdisciplinary Affective Science Lab, where her research examined how brainstem and subcortical structures, traditionally associated with ‘fight-or-flight’ responses, support everyday cognitive functions such as working memory in the absence of threat. In the NeuroPRISM Lab, Alex is developing a scalable, Python-based artifact correction pipeline designed to identify and remove local physiological noise in deep brain regions, thereby enabling more precise and reliable estimates of neural activity in the subcortex. </p>
+        <p style="font-size: 16px; margin-top: 20px;">
+    Alex is expected to graduate in 2026 and is open to opportunities in both academia and industry. 
+    To get in touch, please email her at alexkfischbach [at] gmail.com
+    </p>
+    </div>
+</div>
+
+<div style="display: flex; align-items: top; margin-bottom: 40px;">
+    <div style="flex: 30%; margin-right: 20px;">
+        <img src="img/hallee.jpg" alt="Hallee Shearer" width="250">
+    </div>
+    <div style="flex: 70%;">
+        <h2>Hallee Shearer</h2>
+        <div style="font-style: italic;">PhD Student</div>
+        <p style="font-size: 16px;">Hallee is a PhD student interested in test-retest reliability, naturalistic neuroimaging, precision psychiatry, and statistics. She received a Bachelor of Science in Behavioural Neuroscience in 2021, and a Master of Science in Neuroscience in 2023 - both from the University of British Columbia (UBC). During her time at UBC, she worked with Dr. Fidel Vila-Rodriguez at the Non-Invasive Neurostimulation Therapies (NINET) lab, where her interest in the use of fRMI for interventional psychiatry began. She then joined the Naturalistic Neuroimaging Lab with Dr. Tamara Vanderwal to explore how movie-fMRI could provide improvements in functional connectivity test-retest reliability for precision psychiatric applications. In the NeuroPRISM lab, Hallee is currently working on creating a tool for exploring expected effect sizes of typical fMRI studies. </p>
+    </div>
+</div>
+
+<div style="display: flex; align-items: top; margin-bottom: 40px;">
+    <div style="flex: 30%; margin-right: 20px;">
+        <img src="img/FC.png" alt="Fabricio Cravo" width="250">
+    </div>
+    <div style="flex: 70%;">
+        <h2>Dr. Fabricio Cravo</h2>
+        <div style="font-style: italic;">Postdoctoral Researcher</div>
+        <p style="font-size: 16px;">Fabricio Cravo is a Postdoctoral Researcher in the NeuroPRISM Lab specializing in computational and statistical analysis of fMRI data, particularly for more powerful study planning and inference. Dr. Cravo received his Master's degree in Computer Engineering from CentraleSupélec, France, with a specialization in AI, machine learning, and databases. He then completed his Ph.D. in Computer Science and Applied Mathematics at Paris-Saclay University (ranked #1 globally in Mathematics by ARWU, 2020-2023), where his research focused on distributed algorithms for microbiological systems and mathematical modeling of gene regulatory networks with continuous-time Markov and ordinary differential equations models. He is currently the lead developer of MobsPy, a programming language for biochemical reaction networks, and SHOCK, an empirical power MATLAB toolbox for fMRI studies that features optimized statistical algorithms.
+        <br><i><a href="https://fabriciocravo.github.io">Personal Website</a></i>
+        </p>
+    </div>
+</div>