I am a fourth year PhD student advised by Dr. Martine De Cock and Dr. Anderson Nascimento in the School of Engineering and Technology at the University of Washington Tacoma. I am a Graduate Research Assistant in the Privacy-Preserving Machine learning group. I am broadly interested in Trustworthy Machine Learning. Currently, my research focuses on privacy-preserving machine learning and fairness in machine learning.

I earned my Masters in Computer Science & Systems from University of Washington Tacoma in 2020 with a thesis on privacy-preserving video classification that was nominated for the UW Distinguished Thesis award. I then briefly worked as a Research Intern at MILA under the supervision of Dr. Golnoosh Farnadi. I interned at JPMorgan Chase as an AI Research Associate in Summer 2023 and have been awarded 2023 JP Morgan Chase Fellowship to support PhD research on synthetic data generation. Prior to starting at UW Tacoma, I spent a few years in the Nuclear Power Generation industry as an IT administrator after receiving my Bachelors from JawaharLal Nehru Technological University Anantapur in 2009.

• S. Golob, S. Pentyala, R. Dowsley, B. David, M. Larangeira, M. De Cock, A. Nascimento A Decentralized Information Marketplace Preserving Input and Output Privacy , Proceedings of the 2nd Data Economy Workshop (DEC23) - SIGMOD 2023 workshop, 2023.
• J. Sun, S. Pentyala, M. De Cock, G. Farnadi Privacy-Preserving Fair Item Ranking , 45th European Conference on Information Retrieval 2023. (Paper )
• S. Pentyala, N. Neophytou, A. Nascimento, M. De Cock, G. Farnadi Privacy-Preserving Group Fairness in Cross-Device Federated Learning , In Proceedings of Algorithmic Fairness through the Lens of Causality and Privacy (AFCP2022) - NeurIPS 2022 workshop. (arXiv)
• S. Pentyala, R. Dowsley and M. De Cock Privacy-Preserving Video Classification with Convolutional Neural Networks, In Proceedings of the 38th International Conference on Machine Learning, PMLR 139, 2021. (HTML, Poster, Talk)
• F. Tabet and S. Pentyala, B. Patel, et al. OSMRunner: A System for Exploring and Fixing OSM Connectivity, 22nd IEEE International Conference on Mobile Data Management (MDM) 2021. (HTML, Talk)

• S. Golob, S. Pentyala, A. Maratkhan, M. De Cock High Epsilon Synthetic Data Vulnerabilities in MST and PrivBayes AAAI-24 Workshop on Privacy-Preserving Artificial Intelligence, 2024.
• S. Pentyala, S. Sharma, S. Kariyappa, F. Leuce and D. Magazzeni Privacy-Preserving Algorithmic Recourse, 3rd International Workshop on Explainable AI in Finance, ICAIF 2023.
• M. Pereira, S. Pentyala, A. Nascimento, R. T. de Sousa Jr., M. De Cock Secure Multiparty Computation for Synthetic Data Generation from Distributed Data , SyntheticData4ML Workshop, NeurIPS, 2022. (Poster, PDF,Talk)
• S. Pentyala, D. Melanson, M. De Cock, G. Farnadi PrivFair: a Library for Privacy-Preserving Fairness Auditing, AAAI-22 Workshop on Privacy-Preserving Artificial Intelligence, 2022. (arXiv, PDF, Talk)
• S. Pentyala, M. De Cock and R. Dowsley Privacy-Preserving Video Classification, Women in Computer Vision Workshop at CVPR, 2021. (Poster)

• S. Pentyala, D. Railsback, R. Maia, R. Dowsley, D. Melanson, A. Nascimento, M. De Cock Training Differentially Private Models with Secure Multiparty Computation (arXiv)

• S. Pentyala, N. Neophytou, A. Nascimento, M. De Cock, G. Farnadi PrivFairFL: Privacy-Preserving Group Fairness in Federated Learning, Montreal AI Symposium 2022 Poster
• S. Pentyala, N. Neophytou, A. Nascimento, M. De Cock, G. Farnadi Towards Private and Fair Federated Learning , Women in Machine Learning (WiML) workshop at NeurIPS2022

• 2023 UPE Executive Council Award by UPE International Honor Society for the Computing and Information Disciplines
• Recipient of 2023 JP Morgan Chase Fellowship to support PhD research on synthetic data generation
• 2023 Andrew and Julie Fry Innovation Award, UW Tacoma
• 2022-2023 School of Engineering & Technology’s Student Justice Equity Diversity & Inclusion Award, UW Tacoma
• 2022-2023 School of Engineering & Technology’s Outstanding Graduate Research Award, UW Tacoma
• Our Team PPMLHuskies won 2nd award in the U.S-U.K. PETs Prize Challenges
• WiML travel award to present work on private and fair federated learning at WiML@NeurIPS 2022
• Carwein-Andrews Endowment award for 2022-2023
• 2021-2022 School of Engineering & Technology’s Outstanding Graduate Research Award, Univeristy of Washington Tacoma. (CERT)
• Winner of Track III of the iDASH2021 secure genome analysis competition. (HTML)
• Gold Medalist at Jawaharlal Nehru Technological University, Anantapur in the Branch of ECM, Class of 2009. (CERT)

• Spring 2023: Pre-doctoral Instructor for TCSS 143 (Fundamentals of Object-Oriented Programming)
• Winter 2023: Pre-doctoral Instructor for TCSS 143 (Fundamentals of Object-Oriented Programming)

• Reviewer for SyntheticData4ML Workshop@NeurIPS 2023
• Invited talk on 2023 WiDS celebration at UW Tacoma
• Reviewer for IEEE Transactions on Neural Networks and Learning Systems
• Reviewer for IEEE Transactions on Dependable and Secure Computing
• Roundtable Lead on Privacy at the Algorithmic Fairness through the Lens of Causality and Privacy (AFCP2022) Workshop, NeurIPS 2022
• Co-Reviewer for NeurIPS 2022
• Reviewer for SyntheticData4ML Workshop@NeurIPS 2022