Alumni

Alexander Gamero-Garrido
Alexander Gamero-Garrido completed a postdoc at Northeastern University and is now an Assistant Professor of Computer Science at the University of California, Davis. His interests lie at the intersection of computer network measurements, cybersecurity and technology policy. In particular, his dissertation studies the networking ports of entry for international Internet traffic flowing towards entire countries. Most recently we've inferred the most influential autonomous systems (AS) in many countries, those with the highest capability to observe …
Ali Muhammad
Ali Muhammad graduated in 2023 and is now with Apple. His research interests were in identifying and mitigating instances of bias and discriminatory behavior in machine learning algorithms in the wild. He enjoys using methods at the intersection of internet measurement and applied machine learning to answer these questions. He was advised by Alan Mislove.
Ali Nikkhah
Ali Nikkhah's research interests are primarily in the area of telecommunication policy and data science. Over the past five years, he has been working on an NSF grant project focused on internet interconnection policy. PhD student was advised by Scott Jordan.
Amogh Pradeep
Amogh Pradeep graduated in 2024 and is now at Crowdstrike. His research interests are on Mobile Security and Privacy. Particularly, he wishes to improve the state of user security and privacy. His research so far has included anonymous communication tools for phones and app security and privacy studies. He was advised by David Choffnes.
Andrew Searles
Andrew Searles graduated in 2024 and is now working on a gaming startup. His research interests were based in security and privacy, especially in relation to human behavior. He has interests throughout computer science from hardware to networks. He published a user study on CAPTCHAs, including the effects of bias on solving time. He was advised by Gene Tsudik.
Baturalp Buyukates
Baturalp Buyukates' completed his postdoc with Salman Avestimehr in 2024 and is now an assistant professor at the University of Birmingham, with the Socio-Technical Systems group of the School of Computer Science. His research interests are in the areas of machine learning, distributed systems, communications, networks, and information theory. His current research focus is on secure, trustworthy, and verifiable federated learning, privacy-preserving machine learning, responsible data economics and valuation for machine learning and analytics, blockchain systems, …
Elisa Cabana
Elisa Cabana completed a postdoc at IMDEA Networks in 2023 and is now an associate professor at CUNEF Universidad. Her research interests include machine learning, deep learning, and privacy-preserving anomaly detection. She is currently developing an early warning system for predicting epidemic spread and risk of contagion using mobile phone data to detect possible hospitalizations, tracking the risk connections with other users and detecting the most likely places of contagion.
Ercan Ozturk
Ercan Ozturk graduated in 2021 and is now a Research Scientist at WhatsApp and Meta. His research interest are in Applied Cryptography, Computer & Network Security, and Privacy. He was advised by Gene Tsudik.
Evita Bakopoulou
Evita Bakopoulou graduated in 2022 and now works at Google. Her research interests are primarily in the area of Machine Learning and Privacy, specifically in Federated Learning for Mobile Data Privacy. She was advised by Athina Markopoulou.
Hieu Le
Hieu Le graduated in 2023 and is now a Senior Technical Advisor at the Federal Trade Commission’s Office of Technology, where he leverages his expertise on privacy, automated systems, and applied machine learning to further the agency’s mission to protect consumers and promote fair competition. His research interests included ads & tracking and privacy within the web and IoT space. Before joining Athina’s research group, Hieu Le’s industry experience included work relating to government contracts, high …
Ivan De Oliveira Nunes
Ivan De Oliveira Nunes graduated in 2021 and is now an Assistant Professor of Computing Security at the Rochester Institute of Technology. His research interests span the fields of Security & Privacy, Computer Networking, Embedded Systems, Applied Cryptography, and their intersections. He was advised by Gene Tsudik.
Jake Smith
Jake Smith was an undergraduate researcher advised by Zubair Shafiq. His research interests include network privacy and machine learning, with current work aiming to detect novel cookie matching end-points using graph based machine learning.
Janice Ho
She was an undergraduate at UCI and a co-author of OVRseen: Auditing Network Traffic and Privacy Policies in Oculus VR being presented at USENIX 2022. She now works at Apple as a software engineer, on the System Intelligence & Machine Learning (SIML) team.
Janus Varmarken
Janus Varmarken graduated in 2023 and joined Juniper Networks. He is interested in "anything ubiquitous computing", with a current focus on how smart home devices affect user privacy. He was advised by Athina Markopoulou.
Jiang Zhang
Jiang Zhang graduated in 2024 and is now a research scientist at Meta. His research interested were in machine learning and data privacy with applications to network systems. He was advised by Konstantinos Psounis.
Johanna Gunawan
Johanna Gunawan graduated in 2024 and is now an Assistant Professor of CS and Law at the Maastricht University Law and Tech Lab. Her research spans privacy, consumer protections, and policy. At present, she is focusing on dark patterns and manipulative interfaces that erode user privacy, in the hopes of contributing to better regulation of these practices. She was advised by David Choffnes and Woodrow Hartzog.
Landyn Sparacino
Landyn Sparacino graduated in 2024. Her research interests were in the areas of privacy policies and network analysis. She worked on providing support in the Frontier's work on PoliGraph and was an undergraduate student researcher supervised by David Choffnes and Scott Jordan.
Marc Juarez
Marc Juarez's research interests revolve around the security, privacy, and ethics of machine learning. He was a postdoctoral scholar in the Computer Science Department at the University of Southern California, and is now a Lecturer in Cyber Security and Privacy at the University of Edinburgh's School of Informatics. He worked closely with Aleksandra Korolova.
Muhammad Talha Paracha
Muhammad Talha Paracha gradauted in 2023 and is now a postdoctoral scholar at Ruhr University in Bochum, working with Kevin Borgolte. His research explored the caveats of TLS deployment in different settings – such as the web, mobile and IoT devices. He was advised by David Choffnes.
Qingchuan Yang
He was an undergraduate at UCI and helped with data evaluation for the CV-Inspector project, presented at NDSS 2021. He is currently pursuing a Masters degree in Computer Science at Brown University.
Rahmadi Trimananda
Rahmadi Trimananda is currently a researcher at Comcast Cyber Security Research, he received his B.Sc. degree in Computer Engineering from University of Pelita Harapan, his M.Sc. degree in Computer Engineering from Delft University of Technology, and his Ph.D. degree in Computer Engineering from University of California, Irvine. He was a Project Scientist in the Networking Group at University of California, Irvine, working with Prof. Athina Markopoulou and the awesome team of researchers. His interests are at a unique intersection of …
Santiago Andrés Azcoitia
Santiago Andrés Azcoitia's PhD aims at developing specific components to build a human-centric data economy. We are understanding the value chain in the data economy, increasing the transparency to data pricing, testing more efficient mechanisms to acquire data in SOTA marketplaces, and perform a more efficient value-based revenue distribution among data providers. He worked closely with Nikolaos Laoutaris.
Sashidhar Jakkamsetti
Sashidhar Jakkamsetti graduated in 2023 and is now a researcher at Bosch Labs. His research interests are in Embedded Systems Security. In particular, Sashi designs hardware/software co-design architectures to enable root-of-trust and related services for resource-constrained IoT devices. He also works on privacy-preserving technologies using applied cryptography (MPC) and secure hardware (TEE). He was advised by Gene Tsudik.
Seoyeon Hwang
Seoyeon Hwang graduated in 2024 and is now a research scientist at Stealth Software. Her research interests were in the area of Applied Cryptography for data privacy. She explored various cryptographic techniques, such as MPC, PSI, ZKP, HE, etc., and was also interested in genomic security and IoT security relevant to data privacy. She was advised by Gene Tsudik.
Syed Mahbub Hafiz
Syed Mahbub Hafiz finished his postdoc at UC Davis where he explored Private Information Retrieval (PIR), a Privacy-Enhancing Cryptography-based Technology, to turn it from a theoretical construct to a useful tool in the privacy practitioners toolkit. He worked closely with Zubair Shafiq.
Umar Iqbal
Umar Iqbal graduated in 2021 and completed a two year postdoc at the Paul G. Allen School of Computer Science & Engineering at the University of Washington. He is now an Assistant Professor at the Washington University in St. Louis. He researches web privacy and security with an aim to bring more transparency and control to the users. Specifically, he uses internet measurement techniques to audit and quantify malicious practices on the web and leverage …
Yoshimichi Nakatsuka
Yoshimichi Nakatsuka graduated in 2023 and is now a postdoc at ETH Zurich. His research interests lie at the intersection of Web security / privacy and Confidential Computing. Through his research, he aims to build secure and private systems that protect our data from malicious parties. He was advised by Gene Tsudik.