Former Students of Jeff Phillips
  • Benwei Shi (PhD 2023, BS Thesis 2018) Small Space Data Structures for Data Analysis | first job @ Meta
  • Tao Yang (PhD 2023) Optimizing Ranking Effectiveness and Fairness | first job @ Amazon
  • Prince Osei Aboagye (PhD 2023) Understanding The Geometry of Structured Vectorized Representations | first job @ Visa Research

  • Yanqing Peng (PhD 2022, co-advised by Feifei Li) Toward Designing Efficient and Secure Systems for Big Data | first job @ Meta

  • Yuwei Wang (MS 2021, co-advised by Feifei Li) | first job @ Facebook

  • Zhuoyue Zhao (PhD 2021, co-adivsed by Feifei Li) Approximate Query Processing via Random Sampling | first job @ Assistant Prof @ U. Buffalo

  • Zhao Chang (PhD 2021, co-adivsed by Feifei Li) Scalable and Secure Data Analysis in Cloud | first job @ faculty at Xidan University

  • Austin Watkins (BS Thesis 2020) Using Existential Theory of the Reals to Bound VC-Dimension | first job @ PhD student and Johns Hopkins CS

  • Sunipa Dev (PhD 2020) The Geometry of Distributed Representations for Better Alignment, Attenuated Bias, and Improved Interpretability | first job NSF CI Posdoctoral Fellow @ UCLA --> Google Research.
  • Wai Ming Tai (PhD 2020) Geometry of Kernel Density Estimate | first job postdoc @ UChicago.
  • Jiahui (Karen) Chen (BS Thesis 2020) Practical and Configurable Network Traffic Classification using Probabilistic Machine Learning | first job @ Meta --> PhD student at UT Austin
  • Michael Matheny (PhD 2019) Approximate Statistical Discrepancy | first job @ Amazon.
  • Pingfan Tang (PhD 2019) Robust Estimation and Sketching of Points, Lines, Trajectories and other Shapes | first job @ Google.
  • Stone Mele (BS) | first job @ MS student in Computing @ UofU
  • Jian Ying (MS Thesis 2019) Corrected Moran's I Statistic | first job @ Biostatisticial at the Huntsman Cancer Institute
  • Zahra Fahimfar (MS Thesis 2018) Detecting Potential Lensed Galaxies Behind Foreground Galaxy Targets Using Machine Learning Techniques
  • Giorgi Kvernadze (BS Thesis 2018) Data-Driven Secret Santa | first job @ MS student in Computing @ UofU.
  • Roy Y. Wong (MS Thesis 2017) Moran's I Spatial Auto-Correlation and Anomaly Detection Utilizing PCA and High Dimensional Feature Vectors
  • Safia Hassan (BS Thesis 2017) Evaluating the Relationship between Vector Spaces of Word Embeddings | first job @ MS student in Computing at UofU.
  • Mina Ghashami (PhD 2017) On FrequentDirections | first job @ Rutgers CS as postdoc --> Visa Research --> Amazon.
  • Yan Zheng (PhD 2017) Algorithms and Coresets for Large Scale Kernel Smoothing | first job @ Visa Research
  • Drew McClelland (BS Thesis 2017) Analysis of Mapping Techniques on a Spatial Scan Statistic | first job @ Qualtrics
  • Yi Oi (MS 2017) Visualization of Large Scale Spatial Data Using Kernel Density Estimates | first job @ Expedia
  • Sierra Allred (BS Thesis 2016) College Cost Analyzer: Pick Want You Can Pay For | first job @ MS program in Utah SoC
  • KaiQiang Wang (MS 2016) Stability of the Null Distribution for Spatial Scan Statistics | first job @ Google
  • Liang Zhang (MS 2015) Stability of Spatial Scan Statistics | first job @ Microsoft
  • Raghvendra Singh (MS Thesis 2015) Scalable Spatial Scan Statistics | first job @ InsideSales
  • Jamie Iong (BS Thesis 2015) Solving K-depth Coverage problem using Sweep Line Algorithm and Red Black Tree | first job @ EMC
  • Tami Porter-Jones (BS Thesis 2015) Detecting Large DNA Rearrangements Using NGS Data | first job @ Myriad Genetics
  • Amey Desai (MS Thesis 2014) Streaming Algorithms for Matrix Approximation | first job @ UrbanEngines (Bay Area startup) -> Google
  • Shashanka Krishnaswamy (MS 2013) Quality Control in Weather Updates Via Quantiles | first job @ Amazon
  • Supraja Jayakumar (MS 2013) Uncertain Centerpoints | first job @ Cerner Systems
  • Alex Clemmer (BS Thesis 2013) Streaming LDA | first jobs @ Hacker's School + Microsoft
         In 2017 Alex's paper was awarded best paper at ACM SIGIR!