TIANYU ZHANG Department of Biostatistics, University of Washington [email protected] EDUCATION PhD, Department of Biostatistics, University of Washington 9/2017-Present Research Topics: Nonparametric Online Estimation in Hilbert Spaces. BS, Mathematics & Life Sciences, Peking University 9/2013-7/2017 Double major: Life Sciences, School of Life Science; Mathematics, School of Mathematical Science. 2015-2016 POSCO Scholarship; 2014-2015 Suzhou Industrial Park Scholarship. WORK EXPERIENCE Research Assistant, University of Washington 3/2018-Present Advisor: Prof. Noah Simon & Prof. Marco Carone − Non-parametric regression with streaming data. Stochastic gradient descent in function spaces. − Other multivariate/high-dimensional nonparametric regression methods, theory and application. Teaching Assistant, University of Washington 1-3/2019 & 9-12/2020 − BIOST 514/517: Biostatistics; · − BIOST 546: Machine Learning for Biomedical and Public Health Big Data; Research Scientist, Modeling and Optimization team, Amazon 6-9/2020 Manager: Dr. Andrew Bruce − Independent research project on survival/time series data. Data fetching, modeling and business report delivery. − Machine learning methods for prediction and inference from black-box models. Research Assistant, University of Washington 9/2018-12/2019 Advisor: Prof. Ken Rice & Dr. Matt Conomos − Development group of R package GENESIS. Aim to provide more efficient, more accurate inference methods in mixed models. − Apply random approximation techniques to reduce the time expense in large-matrix computation. Teaching Assistant, Peking University 4-7/2016 & 4-7/2017 Advisor: Prof. Jiazhong Yang Research Assistant, Peking University 3/2015-7/2017 Advisor: Prof. Qi Ouyang & Prof. Zhengwei Xie PUBLICATION − D Michailidou, T Zhang, P Stamatis, B Ng. Risk of venous and arterial thromboembolism in patients with giant cell arteritis and/or polymyalgia rheumatica: A Veterans Health Administration Population-Based Study in the US. (working paper) − T Zhang, N Simon. Tensor product model in nonparametric regression problems (working pa- per) − T Zhang, M Carone, N Simon. A Sieve Stochastic Gradient Descent Estimator for Online Non- parametric Regression in Sobolev ellipsoid (Manuscript) − T Zhang, N Simon. An Online Projection Estimator for Nonparametric Regression in Repro- ducing Kernel Hilbert Space. Submitted to Statistica Sinica. − Y Wang, W Kong, T Zhang, L Wang, B Huang, J Meng, B Yang, Z Xie, H Zhou. Multiple- purpose Connectivity Map Analysis Reveals the Benefits of Esculetin to Hyperuricemia and Renal Fibrosis (2020). International Journal of Molecular Sciences. − Z Xie, T Zhang, and Q Ouyang. Genome-scale fluxes predicted under the guidance of enzyme abundance using a novel hyper-cube shrink algorithm. Bioinformatics, 34(3):502510, 2018. SKILLS Computer: R, SQL, Python, Shell script, C++, MATLAB. Language: Chinese (native); English (proficient); Japanese (beginner)..