Minjie Fan

fanminj1 at gmail dot com

I am a Data Scientist in Google Accelerated Science at Google AI.

Experience

Data Scientist

Google Accelerated Science

Solving challenging statistical problems in diverse scientific areas that can impact the world.

July 2017 - Present

Data Scientist Intern

Google Accelerated Science

Solving challenging statistical problems in diverse scientific areas that can impact the world.

June 2016 - September 2016

Research Intern

NCAR - The National Center for Atmospheric Research

Modeling environmental and geophysical spatial processes.

June 2014 - August 2014 and July 2015 - September 2015

Education

University of California, Davis

PhD in Statistics
September 2012 - June 2017

Fudan University

Bachelor in Mathematics and Applied Mathematics, Minor in Economics
September 2008 - June 2012

Publications

  • Time-Resolved Genome-Scale Profiling Reveals A Causal Expression Network

    Sean R. Hackett, Edward A. Baltz, Marc Coram, Bernd J. Wranik, Griffin Kim, Adam Baker, Minjie Fan, David G. Hendrickson, Marc Berndl and R. Scott McIsaac (2019)
    Submitted to Science

  • Optimizing Design for High Content Imaging Cellular Screen with Deep Neural Network Analysis to Distinguish SMA Patients from Healthy Controls

    Samuel J. Yang, Scott L. Lipnick, Nina R. Makhortova, Subhashini Venugopalan, Minjie Fan, Zan Armstrong, Thorsten M. Schlaeger, Liyong Deng, Wendy K. Chung, Liadan O'Callaghan, Anton Geraschenko, Dosh Whye, Marc Berndl, Jon Hazard, Brian Williams, Arunachalam Narayanaswamy, D. Michael Ando, Philip Nelson and Lee L. Rubin (2019)
    Accepted by SLAS Discovery

  • Neural-Guided Symbolic Regression with Semantic Prior


    Li Li, Minjie Fan, Rishabh Singh, Patrick Riley (2019)
    Submitted to ICML

  • A Multi-resolution Model for Non-Gaussian Random Fields on a Sphere with Application to Ionospheric Electrostatic Potentials


    Minjie Fan, Debashis Paul, Thomas C.M. Lee, Tomoko Matsuo (2018)
    The Annals of Applied Statistics

  • Modeling Tangential Vector Fields on a Sphere


    Minjie Fan, Debashis Paul, Thomas C.M. Lee, Tomoko Matsuo (2018)
    Journal of the American Statistical Association

  • Correcting Nuisance Variation using Wasserstein Distance


    Gil Tabak, Minjie Fan, Samuel J. Yang, Stephan Hoyer, Geoff Davis (2017)
    Technical Report

  • A Note on Spherical Needlets


    Minjie Fan (2015)
    Technical Report

  • Variants of Seeded Region Growing


    Minjie Fan, Thomas C.M. Lee (2015)
    IET Image Processing

  • Portfolio Management with Robustness in Both Prediction and Decision: A Mixture Model Based Learning Approach


    Shushang Zhu, Minjie Fan, Duan Li (2014)
    Journal of Economic Dynamics and Control

Paper Reviews

  • Spatial Statistics
  • Journal of Statistical Inference and Planning
  • Economic Modeling
  • Journal of Computational Physics
  • IEEE Internet of Things Journal

Awards

  • Best Student Paper Award, International Indian Statistical Association (IISA), 2016
  • Data Mining Cup 2016 1st Place, prudsys AG, 2016
  • Peter G. Hall Graduate Research Award, Department of Statistics, UC Davis, 2016
  • Julius Blum Award, Department of Statistics, UC Davis, 2014