Role Future Faculty Workshop Speaker Title Assistant Professor of Computer Science, Colgate University Email [email protected] Bio/Description Noah Apthorpe is an Assistant Professor of Computer Science at Colgate University. His research combines human-computer interaction, networks, and machine learning to study privacy & security implications of connected technologies, including Internet of things (IoT) devices.Noah received his Ph.D. in computer science from Princeton University in 2020. He was a graduate fellow in the Princeton Center for Information Technology Policy (CITP) advised by Professor Nick Feamster. His dissertation, Network Privacy and User Protection in the Internet of Things, combined technical analysis and user studies to identify novel IoT privacy vulnerabilities, enable the collection and study of IoT network data at scale, and inform recommendations for device manufacturers, regulators, and consumer advocates. Noah received his M.A. and B.S.E. degrees in computer science from Princeton in 2017 and 2014, respectively.Noah has received a Siebel Scholarship, Defense Department NDSEG Fellowship, graduate student teaching assistant award, and distinguished poster award at the Network and Distributed Systems Symposium. He has given numerous talks, including at the FTC's PrivacyCon and the Annual Symposium on Applications of Contextual Integrity. His research has been covered in Wired, TechCrunch, Forbes, The Washington Post, and other press outlets. Upcoming Professional Development Events Sep 16 Select and Analyze Geographic Features and Data with QGIS Sep 16 Shape Your Ph.D 2024 (Session 2) Sep 17 Mentor Undergraduate Researchers through ReMatch (Virtual) Sep 17 Select and Analyze Geographic Features and Data with ArcGIS Pro Sep 17 Introduction to MATLAB Sep 17 Inclusive Leadership Learning Cohort 2024: Session 2 "Inclusive Leadership Requires Emotional Intelligence" Sep 18 Introduction to Data Analysis Using R Sep 18 Finding the Best Location using QGIS Sep 18 Introduction to Programming Using Python, Section I (9/18, 9/19 and 9/23) Sep 19 Finding the Best Location using ArcGIS Pro Sep 19 Advanced LaTeX Workshop Sep 19 Connecting Visual Studio Code to the Research Computing Clusters