Fan Chen

2021

Jun. I will join Google (in NYC) as a Data Scientist.

May. I successfully defended my dissertation!
-- Spectral methods for social media data analysis. [dissertation]

2020

Aug. I gave a talk at Google's Statistics Journal Club.
-- Finding the sparse signals/components in data. [slides]

Aug. I gave a talk (contributed paper) at JSM 2020.
-- "SURF: Integrate analysis of RNA-seq and CLIP-seq data." [video]

Jun. Hooray! I passed my preliminary exam---one step closer to PhD. [slides]

May. New paper accepted at Genome Biology. [bioRxiv] [journal]
-- Chen, Fan, et al. "SURF: integrative analysis of a compendium of RNA-seq and CLIP-seq datasets highlights complex governing of alternative transcriptional regulation by RNA-binding proteins."

Feb. Another working manuscript of mine has been selected for the 2020 ASA Section on Statistics in Genomics and Genetics (SGG) Distinguished Student Paper Award! [annocement]

Jan. A working manuscript has been selected to receive an Honorable Mention in the Statistical Learning and Data Science Student Paper Award competition.
-- "A new basis for sparse PCA."

2019

Dec. I earned my M.S. degree in Computer Sciences. This is a milestone.

Oct. New paper accepted at Journal of the Royal Statistical Society, Series B (Statistical Methodology)!
-- Chen, Fan, et al. "Targeted sampling from massive block model graphs with personalized PageRank." [paper] [journal]

May. Great Lakes Bioinformatics (GLBIO 2019) - International Society for Computational Biology (ISCB).
-- "Integrate RNA-seq and eCLIP-seq with SURF for mining regulation functions of RNA binding proteins." [slides]

Mar. New paper accepted at Nature Methods!
-- Preston, Melanie A., et al. "Unbiased screen of RNA tailing activities reveals a poly(UG) polymerase." [paper]

2018

Jul. Summer School on Fundamentals of Data Analysis (TRIPODS 2018), Madison, USA.

Jul. I will attend the 2018 SIAM Annal Meeting (AN18) MS125 and the Workshop on Network Science (NS18), Portland, USA.
-- Chen, F., Zhang, Y., Rohe, K. (2018). Personalized PageRank, local clustering, and the Stochastic Blockmodel. [slides] [poster]

May. Hangzhou International Conference on Frontiers of Data Science (website), Hangzhou, China.

Jan. I joined Rohe Lab and continued working on community detection.

2017

Sep. I passed the PhD Qualifying Exam!

Jul. I will attend the Summer Institute in Statistical Genetics (SISG) at the University of Washington, Seattle. Three modules are hosted by Timothy Thornton, Kari North, and Ali Shojaie.

2016

Sep. I become a research assistant in Keles' research group. My work will involve modeling RNA binding proteins (RBPs) and related High-Throughput sequencing data analysis.

Jun. My dissertation, advised by Prof. Liu, is awarded as the Best Diss. of the year.
-- Chen, F. (2016). Mathematical modelling on battery systems. (in Chinese) [thesis]

Mar. In the coming five months, I will be a business intelligence intern at Didi, Hangzhou.

2015

Nov. Our project, part of the Student Research Training Program (SRTP), was awarded the First class, Hangzhou, China.
-- Chen, F., Li, X. (2015). The influence factors in complex reply networks. [slides]

Jul. I am in the UCLA Cross-disciplinary Scholars in Science and Technology (CSST) program, Los Angeles. I will work on community detection with Professor Arash Amini in the coming months.
-- Chen, F., Amini, A. (2015). Variational EM approaches for Stochastic Block Model with covariates. [poster]

Feb. Our team is awarded Outstanding Winner in the Mathematical Contest in Modeling (MCM/ICM).

2014

Sep. I set up a team named BINGO, of ZJU, to participate in the Contemporary Undergrad Mathematical Contest in Modeling (CUMCM), China. We win the First Prize!

2013

Aug. I will be a voluntary teacher of Math in Yongpin No.2 high school, Dali, Yunnan Province. We are affiliated with West Region Attached Association (WRAA).

2012

Sep. I am honored to join the Shing-Tung Yau Elite Program of Mathematics, affiliated with Center of Mathematical Sciences (CMS), Zhejiang University.