![Tiffany Tang - news announcement](https://acms.nd.edu/assets/575283/300x/screenshot_2024_07_19_at_11929_pm.png)
Tiffany Tang joined the Department of Applied and Computational Mathematics and Statistics (ACMS) as a Clare Boothe Luce Assistant Professor. She received a B.A. in Statistics and a B.S. in Mathematics from Rice University, and a Ph.D. in Statistics from the University of California, Berkeley. Tang’s research is primarily problem-driven and lies broadly at the intersection of statistics/data science and medicine. Currently, her research focuses on (1) developing interpretable statistical machine learning methods to extract actionable and reliable insights from real-world data, (2) ensuring transparent and responsible use of AI in healthcare while in close collaboration with domain scientists, and (3) creating open-source tools and software to facilitate community-wide use and adoption of reliable data science in practice.
![Soham Jana, Princeton University](https://acms.nd.edu/assets/558871/300x/screenshot_2024_02_16_at_3.10.33_pm.png)
Soham Jana will join the Department of Applied and Computational Mathematics and Statistics (ACMS) as an Assistant Professor in August 2024. Jana received a B.Stat and an M.Stat (specializing in Theoretical Statistics) from the Indian Statistical Institute, Kolkata, India, in 2015 and 2017, respectively. He received a Ph.D. in the Department of Statistics and Data Science from Yale University in 2022, advised by Prof. Yihong Wu. Afterwards, he joined Princeton University as a postdoc in the Department of Operations Research and Financial Engineering, hosted jointly by Prof. Sanjeev Kulkarni and Prof. Jianqing Fan. Jana's research interests include statistical machine learning, high-dimensional and non-parametric statistics, mixture models, and robust decision-making.
Originally published by acms.nd.edu on July 19, 2024.
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