ALEJANDRO CUEVAS

I write amusing things (almost) weekly at ->


Teaching, Service, and Other
PhilosophyI’ve had the opportunity to work with a variety of talented students over the years, ranging from high school to Ph.D. I’m always happy to discuss possible mentoring opportunities for academic research, professional development. I am especially committed to supporting Latino students.

I approach teaching and mentorship as a collaborative process, adapting my guidance to each student’s goals—whether they involve academic research, industry, or exploration. I believe students learn best by doing. In class, I create supportive environments where students can tackle meaningful problems and experiment with creative solutions. In research, I help students identify projects that genuinely interest them, then establish clear milestones and tangible outcomes. I foster agency and independence while maintaining rigorous standards for methods, evidence, and responsible research. Above all, I strive to lead with empathy, communicate clearly, and ensure that students from all backgrounds feel respected, challenged, and empowered to develop ideas of their own.


Mentorship
  • Tamara Aguetse (Princeton Undergraduate)
  • Brian Phillips (Princeton MS. Student)
  • Matthew Muñoz (Princeton MS. Student)
  • Mohamed Moustafa Dawoud (Ph.D. UC Santa Cruz)
  • Zhibin Shen (Columbia Undergraduate -> Ph.D. University of Wisconsin-Madison)
  • Stephanie Oh (Princeton Undergraduate -> UX Designer at IBM)
  • Pranav Gadde (Illinois Mathematics and Sciences Academy)
  • Haoxiang Yu (Tsinghua University - Yao Class)
  • Dohyoung Ko (Penn State Undergrad)
  • Ziping Ye (Penn State Undergrad -> MS. UPenn -> Applied Scientist at Amazon)
  • Elena Gonzalez (CMU AI Mentoring Program - 2022/23)
  • Patrick May (REUSE Cohort 2022 -> BNY Mellon)
  • Paul Chung (REUSE Cohort 2022 -> Ph.D. UCSD)
  • Emily Chang (REUSE Cohort 2022 -> PhD. TTIC)
  • Jenna Bustami (REUSE Cohort 2021 -> Amazon AWS Engineering)
  • Xinyue Lai (REUSE Cohort 2021 -> Apple)
  • Emma Hogan (REUSE Cohort 2020 -> Ph.D. UCSD -> Prof. Bard College)
  • Antonio Martorana (Independent Study & Master’s Thesis -> Qualcomm)
  • Hannah Pearson (Independent Study & Master’s Thesis -> Idaho National Laboratory)

Committees
  • S3D Faculty Search Committee Ph.D. Admissions - 2023
  • Societal Computing Ph.D. Admissions - 2022
  • REUSE Admissions - 2024/23/22/21

Teaching Assignments
  • Fall 2023 - (TA) 07-300 ‘Research and Innovation in Computer Science’ (CMU), w/ Prof. Ruben Martins
  • Fall 2022 - (TA) 17-303/703: ‘Cryptocurrencies, Blockchains, and Applications (CMU), w/ Prof. Nicolas Christin
  • Fall 2017 - (TA DS-300: ‘Privacy and Security for Data Sciences’ (Penn State), w/ Prof. Anna Squicciarini

Professional Service
  • Senior PC Member - ICWSM 2026/27
  • Reviewer - CHI 2024/25
  • Program Committee - AsiaCCS 2024/25
  • Ext. Reviewer - DIS 2025
  • PC Member - FOCI 2025
  • Ext. Reviewer - RAID 2024
  • Ext. Reviewer - GameSec 2022


Invited Talks &
Presentation
  • 2026 “Unlocking Digital Behavior Using Accelerator Comscore Data” - Princeton CITP Seminar (Princeton, NJ)
  • 2026 “Chameleon Channels: Measuring YouTube Accounts for Deception and Profit” - USENIX Security (Baltimore, MD)
  • 2026 “Panel: AI Pornography” - American Institute for Boys and Men (AIBM)
  • 2026 “Deepfake Pornography is Resilient to Regulatory and Platform Shocks” - Princeton CITP External Advisory Council (Princeton, NJ)
  • 2026 “Deepfake Pornography is Resilient to Regulatory and Platform Shocks” - UC Santa Cruz Security Seminar (Remote)
  • 2026 “Deepfakes are Dead, Long Live the Deepfakes” - Princeton CITP Seminar (Princeton, NJ)
  • 2025 “Collecting Qualitative Data at Scale with Large Language Models: A Case Study” - CSCW 2025 (Bergen, Oslo)
  • 2025 Panel: “Scale, Engage, or Both?: Potential and Perils of Applying Large Language Models in Interview and Conversation-Based Research“ - CSCW 2025 (Bergen, Oslo)
  • 2025 “Anecdoctoring: Automated Red Teaming Across Language and Place” - EMNLP 2025 (Virtual)
  • 2025 “Why do People Buy and Sell YouTube Accounts?” - Princeton CITP Seminar (Princeton, NJ)
  • 2024 “The Fault in Our Stars: Are Reputation Systems Harmful?”
               -> IEEE Communications Society (Pittsburgh, PA)
               -> University of California, San Diego Security Seminar (San Diego, CA)
  • 2024 “Finding the Things That You Want to Do” - The Pennsylvania State University, for the Presidential Leadership Academy (Pittsburgh, PA)
  • 2024 “Does Online Anonymous Reputation Matter?” - USENIX Security ‘24 (Philadelphia, PA)
  • 2024 “Falling Stars: How Reputation Systems Fail in Practice”
                -> University of Washington Security Seminar (Seattle, WA)
               -> University of Illinois at Urbana-Champaign Security Seminar (Champaign, IL)
                -> The Pennsylvania State University Security Seminar (University Park, PA)
                -> Purdue University CERIAS Seminar (Online)
  • 2023 “MSR Intern Insights” (Redmond, WA)
  • 2023 “Does Online Anonymous Reputation Matter?” - Cylab Partners Conference (Pittsburgh, PA)
  • 2023 “Risks in Cryptocurrency Markets” - Paraguayan Central Bank (Asuncion, Paraguay)
  • 2023 “Applications of Large Language Models for Enterprises” - Universidad Americana (Asuncion, Paraguay)
  • 2022 “Measurement by Proxy: On the Accuracy of Online Marketplace Measurements” - USENIX Security Symposium (Boston, MA)
  • 2022 “Introduction to Darkweb Marketplaces” - Universidad Comunera (Online)
  • 2021 “Observations From an Online Security Competition and Its Implications on Crowdsourced Security” - Workshop on Information Security Workers (Online) 2019 “Overview of Cybersecurity in Paraguay: Challenges and Opportunities for the National Police” - Paraguayan National Police (Department of Financial Crimes), Asuncion, Paraguay

Writing
©Dos mil veintiseis. Paraguayo.