test update

Gao-Labs · Sep 9, 2024 · 7a3f2b6 · 7a3f2b6
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diff --git a/website/src/app/consts/bios.const.ts b/website/src/app/consts/bios.const.ts
@@ -12,30 +12,19 @@ export const people: Person[] =[
     image: imageDir + 'oliver-group.jpg',
     email: "hg55@cornell.edu"
   },
-{'name': 'Dr. Tim Fraser, PhD', type: 'postdoc', 
- 'bio': 'Tim Fraser is an Ezra Systems Research Associate, teaching in the Systems Engineering Program at Cornell University. He is a computational social scientist, studying how communities can reduce their emissions and improve their resilience. He has authored 40 peer-reviewed studies and five chapters on urban resilience, disasters, energy, health, and the pandemic in the US and Japan. His recent has been funded by multiple external grants from Fulbright & the Natural Hazards Center, as well as internal grants from Northeastern University. Prior to Cornell, he taught as an instructor and earned his Ph.D. in political science from Northeastern University from 2017 to 2022. In 2016, he was a Fulbright Fellow at Kyushu University, Japan. Tim teaches statistics and research methods, using examples from environmental policy, and enjoys leading research with undergraduates and master’s students. He also runs tutorials on data science in R.', 
+{'name': 'Dr. Tim Fraser, PhD', type: 'faculty', 
+ 'bio': 'Tim Fraser is an Ezra Systems Research Associate, teaching in the Systems Engineering Program at Cornell University. He is a computational social scientist, studying how communities can reduce their emissions and improve their resilience. He has authored 44 peer-reviewed studies and five chapters on urban resilience, disasters, energy, health, and the pandemic in the US and Japan. His recent has been funded by multiple external grants from Fulbright & the Natural Hazards Center, as well as internal grants from Northeastern University. Prior to Cornell, he taught as an instructor and earned his Ph.D. in political science from Northeastern University from 2017 to 2022. In 2016, he was a Fulbright Fellow at Kyushu University, Japan. Tim teaches statistics and research methods, using examples from environmental policy, and enjoys leading research with undergraduates and master’s students. He also runs tutorials on data science in R.', 
  'title': 'Ezra Systems Research Associate', 
  'image': "../../../assets/headshots/Fraser_headshot_2022 - 560x560.jpg", 
  'role': 'Lead Developer', 'team': 'CAT', 'linkedinUrl': 'https://www.linkedin.com/in/timothy-fraser-698786186/', 
  'websiteUrl': 'https://timothyfraser.com/cv/', 'email': 'tmf77@cornell.edu'},
-{
-  name: 'Erin Murphy',
-  type: "staff",
-  title: 'Programmer',
-  team: "uTech",
-  role: "PPS Multi-City Developer",
-  bio: 'Erin is a staff developer and key contributor to the uTech and PPS projects. Leveraging her experience in full-stack development, she also created this website from scratch using Angular and regularly assists the CAT team with various projects. Her skills include Python, Pandas, and web/mobile development with TypeScript, React (Native), and Angular.',
-  image: imageDir + 'erinheadshot3.JPG',
-  linkedinUrl: "https://www.linkedin.com/in/erinmurphy843/",
-  githubUrl: "https://github.com/em843",
-  email: "erinmurphy843@gmail.com"
-},
+{'name': 'Dr. Charlle  Sy, PhD', type: "faculty",'bio': 'Dr. Charlle Sy is a professor in Industrial & Systems Engineering at De La Salle University-Manila. She received the 2023 Underwriters Laboratories ASEAN-U.S. Science Prize for Women for her work on energy and electrification. She developed an algorithmic framework called Target-Oriented Robust Optimization (TORO) which integrates uncertainty at the point of decision-making and guarantees computational tractability. Dr. Sy has extensively used TORO for the design of sustainable systems in energy, production, and water networks.', 'title': 'Visiting Scholar', 'image': "../../../assets/headshots/KRP09089ed - Charlle Sy.jpeg", 'team': 'CAT', 'yearIfPastMember': 2024, 'email': 'cls384@cornell.edu'},
+
 {'name': 'Kuceli Englama',  type: "masters", 'bio': "Kuceli Susan Englama is a software developer with expertise in front-end engineering. She is currently pursuing her master's degree in computer science at Cornell University and previously earned her bachelor of science in software engineering from the American University of Nigeria, where she graduated with top honors. She is working on the Nationwide Emission Analyzer Project at uTECH, developing front-end components using ReactJS. Kuceli co-founded The Favor Busam Foundation, which supports impoverished individuals through educational initiatives and basic amenities. Her leadership extends to her role as a founding board member at Visqorium, where she managed company administration and conducted competitive analysis in the non-fungible token market.", 'title': 'MEng Student', 'image': imageDir + 'IMG_8549 - Kuceli Englama.jpg', 'role': 'Front End Developer', 'team': 'uTech', 'yearIfPastMember': 2023, 'linkedinUrl': 'https://www.linkedin.com/in/kucelienglama/', 'websiteUrl': 'https://kucelienglama.netlify.app', 'email': 'englamakuceli@gmail.com'},
-{'name': 'Dr. Charlle  Sy, PhD', type: "postdoc",'bio': 'Dr. Charlle Sy is a professor in Industrial & Systems Engineering at De La Salle University-Manila. She received the 2023 Underwriters Laboratories ASEAN-U.S. Science Prize for Women for her work on energy and electrification. She developed an algorithmic framework called Target-Oriented Robust Optimization (TORO) which integrates uncertainty at the point of decision-making and guarantees computational tractability. Dr. Sy has extensively used TORO for the design of sustainable systems in energy, production, and water networks.', 'title': 'Visiting Scholar', 'image': "../../../assets/headshots/KRP09089ed - Charlle Sy.jpeg", 'team': 'CAT', 'yearIfPastMember': 2024, 'email': 'cls384@cornell.edu'},
 {'name': 'Junjia Liang', type: "masters",'bio': "Junjia Liang has Master's degree in Engineering from Cornell University and a background in Business Administration, adept in Python, SQL, data visualization, MATLAB, and cloud computing.", 'title': 'MEng student', 'image': imageDir + 'IMG_4791 - Junjia Liang.jpg', 'team': 'uTech', 'yearIfPastMember': 2024, 'linkedinUrl': 'www.linkedin.com/in/junjia-liang-5914922b4', 'email': 'jxl1758@cornll.edu', 'githubUrl': 'https://github.com/jjliang555'},
 {'name': 'Songyang Ruan', type: "masters",'bio': "Songyang is an MS student in the Regional Science program at Cornell University, focusing on spatial data analytics and computational methods for the system engineering field. Before coming to Cornell, he received a BS in Business Intelligence and Data Analytics at the University of Macau with an exchange semester at Xi'an Jiaotong University's Big Data Management and Applications program.", 'title': 'MS Student', 'image': "../../../assets/headshots/selfie_sq - horatio juan.jpg", 'team': 'CAT', 'yearIfPastMember': 2024, 'linkedinUrl': 'https://www.linkedin.com/in/horatioj/', 'websiteUrl': 'https://horatioj.github.io/', 'githubUrl': 'https://github.com/Horatioj'},
 {'name': 'Ryan Mao', type: "masters", 'bio': 'Ryan is currently an M.Eng student studying CS at Cornell University. He completed his undergraduate at the same institution, studying CS and ORIE. He is a contributor to the GreenTech project in Spring 2024.', 'title': 'MEng Student', 'image': imageDir + 'Screenshot 2024-04-18 at 10.02.41\u202fPM - Ryan Mao.png', 'team': 'uTech', 'yearIfPastMember': 2024, 'linkedinUrl': 'https://www.linkedin.com/in/ryanwmao/'},
-{'name': 'Dr. Mohammad  Tayarani, PhD', type: "postdoc",'bio': "As a visiting scientist at Cornell University, Dr. Mohammad Tayarani's focus revolves around a groundbreaking modeling framework for transportation, air quality, and justice. At the heart of his research is the development of a digital twin—a sophisticated simulation tool that brings together various aspects like land use, transportation, emissions, air quality, and justice. This tool helps us better understand and tackle complex challenges in urban development and environmental sustainability.\n \nHe uses data-driven methods to build automated simulation models, employing advanced techniques like machine learning to understand how transportation systems affect climate change, air quality and justice. By analyzing big datasets, he aims to uncover practical insights that can guide policy-making and promote fairness within communities.\n \nHe has worked on environmental policy at Consumer Reports and California Air Resources Board, focusing on the Low Carbon Fuel Standard. Now, as a Senior Data Scientist at California Public Utility Commission-TLAB, Mohammad analyzes data related to Transportation Network Companies (TNCs) and Autonomous Vehicle (AV) operations. His work helps shape regulations that encourage innovation while ensuring public safety in transportation technology.", 'title': 'Visiting Scientist', 'image': "../../../assets/headshots/IMG_4422 - Mohammad Tayarani.jpeg", 'team': 'uTech', 'email': 'mt789@cornell.edu'},
+{'name': 'Dr. Mohammad  Tayarani, PhD', type: "faculty",'bio': "As a visiting scientist at Cornell University, Dr. Mohammad Tayarani's focus revolves around a groundbreaking modeling framework for transportation, air quality, and justice. At the heart of his research is the development of a digital twin—a sophisticated simulation tool that brings together various aspects like land use, transportation, emissions, air quality, and justice. This tool helps us better understand and tackle complex challenges in urban development and environmental sustainability.\n \nHe uses data-driven methods to build automated simulation models, employing advanced techniques like machine learning to understand how transportation systems affect climate change, air quality and justice. By analyzing big datasets, he aims to uncover practical insights that can guide policy-making and promote fairness within communities.\n \nHe has worked on environmental policy at Consumer Reports and California Air Resources Board, focusing on the Low Carbon Fuel Standard. Now, as a Senior Data Scientist at California Public Utility Commission-TLAB, Mohammad analyzes data related to Transportation Network Companies (TNCs) and Autonomous Vehicle (AV) operations. His work helps shape regulations that encourage innovation while ensuring public safety in transportation technology.", 'title': 'Visiting Scientist', 'image': "../../../assets/headshots/IMG_4422 - Mohammad Tayarani.jpeg", 'team': 'uTech', 'email': 'mt789@cornell.edu'},
 {'name': 'Youchen Shao', type: "masters",'bio': 'Youchen joined the Emissions Analyzer team as a DevOps engineer in Spring 24. He is a self-motivated quick learner focusing on writing high-performance, user-friendly, and maintenance-free programs. He collaborated with his teammates to determine the deployment diagram and the hardware specifications. He created high-standard Docker images for the MOVES software, backend, and frontend for deployment on Cornell Server and AWS.', 'title': 'MEng Student', 'image': imageDir + 'bio - Youchen Shao.jpg', 'role': 'DevOps Engineer', 'team': 'uTech', 'yearIfPastMember': 2024, 'linkedinUrl': 'https://www.linkedin.com/in/youchenshao/', 'githubUrl': 'https://github.com/xiaoshaoyc'},
 {'name': 'Peilin Li', type: "masters",'bio': 'Peilin is a Systems Engineering MS student.', 'title': 'MS Student', 'image': imageDir + 'IMG_7377 copy - Peilin Li.JPG', 'team': 'CAT', 'yearIfPastMember': 2023, 'linkedinUrl': 'https://www.linkedin.com/in/peilin-li-5165a7204/', 'email': 'pl593@cornell.edu'},
 {'name': 'Dr. Xinlai Liu, PhD', type: "postdoc",
@@ -60,4 +49,20 @@ export const people: Person[] =[
 {'name': 'Qingyuan Guo', type: "masters",'bio': "Qingyuan is an MEng student graduating in 2024. He works on the project 'Air Quality Machine Learning (AQML) - Predictive Analysis for Transportation Pollution' with Postdoc Mohammad and Dr. Alireza. He is also a member of the project 'CAT Cred/Quality Checker' with Dr. Fraser.", 'title': 'MEng Student', 'image': imageDir + '微信图片_20240425030117 - Qingyuan Guo.jpg', 'team': 'CAT', 'yearIfPastMember': 2024},
 {'name': 'Linpei  Huang', type: "masters",'bio': 'Linpei Huang is a master student in the systems engineering program at Cornell University. His research field focused on how to build low-carbon cities and optimize emissions in transportation systems. His bachelor graduated from Sichuan University and the University of Pittsburgh in industrial engineering from 2019 to 2023.', 'title': 'Master Student', 'image': "../../../assets/headshots/Weixin Image_20240503014141 - Linpei Huang.jpg", 'role': 'Contributor', 'team': 'CAT', 'yearIfPastMember': 2023, 'linkedinUrl': 'https://www.linkedin.com/in/linpei-huang-573554261/', 'email': 'lh699@cornell.edu'},
 {'name': 'Xinwei Li', type: "postdoc",'bio': "Dr. Xinwei Li is a postdoctoral associate in the School of Civil & Environmental Engineering at Cornell University. Since joining Gao's lab in January 2023, she has been responsible for architecting the CAT systems. Prior to this, she earned a PhD in Transportation Technology and Policy, along with a MS in Statistics, from the University of California, Davis. Her research focuses on the intersection of environment, transportation, and energy systems, particularly on reducing the environmental, health and energy impacts of transportation systems through innovative mobility techniques.", 'title': 'Postdoctoral Research Associate', 'image': "../../../assets/headshots/李欣蔚证件照2 - Xinwei Li.png", 'role': 'CAT Systems Architect', 'team': 'CAT', 'email': 'xinweili734@gmail.com'},
+
+
+{
+  name: 'Erin Murphy',
+  type: "former",
+  title: 'Programmer',
+  team: "uTech",
+  role: "PPS Multi-City Developer",
+  bio: 'Erin served as a staff developer and key contributor to the uTech and PPS projects. Leveraging her experience in full-stack development, she also created this website from scratch using Angular and regularly assists the CAT team with various projects. Her skills include Python, Pandas, and web/mobile development with TypeScript, React (Native), and Angular.',
+  image: imageDir + 'erinheadshot3.JPG',
+  linkedinUrl: "https://www.linkedin.com/in/erinmurphy843/",
+  githubUrl: "https://github.com/em843",
+  email: "erinmurphy843@gmail.com"
+}
+
 ]
+
diff --git a/website/src/app/pages/bios/bios.component.html b/website/src/app/pages/bios/bios.component.html
@@ -7,14 +7,23 @@ <h1>Lab Members</h1>
   <h2>Core Team</h2>
   <div class="card-container">
     <app-bio-card *ngFor="let person of filteredPeople | filterByType: ['pi']" [person]="person"/>
+    <app-bio-card *ngFor="let person of filteredPeople | filterByType: ['faculty']" [person]="person"/>
     <app-bio-card *ngFor="let person of filteredPeople | filterByType: ['postdoc', 'staff']" [person]="person"/>
   </div>
+  <hr>
   <h2>PhD Students</h2>
   <div class="card-container">
     <app-bio-card *ngFor="let person of filteredPeople | filterByType: ['phd']" [person]="person"/>
   </div>
+  <hr>
   <h2>Master's Students</h2>
   <div class="card-container">
     <app-bio-card *ngFor="let person of filteredPeople | filterByType: ['masters']" [person]="person"/>
   </div>
+
+  <h2>Former Contributors</h2>
+  <div class="card-container">
+    <app-bio-card *ngFor="let person of filteredPeople | filterByType: ['former']" [person]="person"/>
+  </div>
+
 </div>