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FanCV_academic.tex
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%% Template for a CV
%% Author: Rob J Hyndman
\documentclass[10pt,a4paper,]{article}
\usepackage[scaled=0.86]{DejaVuSansMono}
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% Change color to blue
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\urlstyle{same} % don't use monospace font for urls
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\geometry{left=1.75cm,right=1.75cm,top=2.2cm,bottom=2cm}
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% Fix footnotes in tables (requires footnote package)
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\setcounter{secnumdepth}{0}
% set default figure placement to htbp
\makeatletter
\def\fps@figure{htbp}
\makeatother
\date{May 2024}
\usepackage{paralist,ragged2e,datetime}
\usepackage[hyphens]{url}
\usepackage{fancyhdr,enumitem,pifont}
\usepackage[compact,small,sf,bf]{titlesec}
\RaggedRight
\sloppy
% Header and footer
\pagestyle{fancy}
\makeatletter
\lhead{\sf\textcolor[gray]{0.4}{Curriculum Vitae: \@name}}
\rhead{\sf\textcolor[gray]{0.4}{\thepage}}
\cfoot{}
\def\headrule{{\color[gray]{0.4}\hrule\@height\headrulewidth\@width\headwidth \vskip-\headrulewidth}}
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% Header box
\usepackage{tabularx}
\makeatletter
\def\name#1{\def\@name{#1}}
\def\info#1{\def\@info{#1}}
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\newcommand{\shadebox}[3][.9]{\fcolorbox[gray]{0}{#1}{\parbox{#2}{#3}}}
\usepackage{calc}
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%\addtolength{\headerboxwidth}{0.2cm}
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\shadebox[0.9]{\headerboxwidth}{\sf\color{headcolor}\hfil
\hbox to 0.98\textwidth{\begin{tabular}{l}
\\[-0.3cm]
\LARGE\textbf{\@name}
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\normalsize\textbf{Curriculum Vitae}\\
\normalsize May 2024
\end{tabular}
\hfill\hbox{\fontsize{9}{12}\sf
\begin{tabular}{@{}rl@{}}
\@info
\end{tabular}}}\hfil
}
\vspace*{0.2cm}}
\makeatother
% Section headings
\titlelabel{}
\titlespacing{\section}{0pt}{1.5ex}{0.5ex}
\titleformat*{\section}{\color{headcolor}\large\sf\bfseries}
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% Make nicer bullets
\renewcommand{\labelitemi}{\ding{228}}
\usepackage{booktabs,fontawesome5}
%\usepackage[t1,scale=0.86]{sourcecodepro}
\name{Fan Cheng}
\def\imagetop#1{\vtop{\null\hbox{#1}}}
\info{%
\raisebox{-0.05cm}{\imagetop{\faIcon{map-marker-alt}}} & \imagetop{\begin{tabular}{@{}l@{}}Department
of Econometrics \& Business Statistics,\tabularnewline Monash
University, VIC 3800, Australia.\end{tabular}}\\ %
\faIcon{home} & \href{http://fancheng.me}{fancheng.me}\\% %
%
%
\faIcon{envelope} & \href{mailto:Fan.Cheng@monash.edu}{\nolinkurl{Fan.Cheng@monash.edu}}\\%
\faIcon{twitter} & \href{https://twitter.com/fanchengfc}{@fanchengfc}\\%
\faIcon{github} & \href{https://github.com/ffancheng}{ffancheng}\\%
\faIcon{linkedin} & \href{https://www.linkedin.com/in/fan-cheng}{fan-cheng}\\%
%
%
\faIcon{orcid} & \href{https://orcid.org/0000-0003-0009-3262}{0000-0003-0009-3262}\\%
}
%\usepackage{inconsolata}
\setlength\LTleft{0pt}
\setlength\LTright{0pt}
% Pandoc CSL macros
\def\endfirstpage{\newpage}
\begin{document}
\maketitle
\thispagestyle{empty}
\section{Education and
qualifications}\label{education-and-qualifications}
\begin{tabular}{lll}
2019--2023 & Ph.D. in Statistics & Monash University, Australia \\
& Thesis: & \emph{Manifold Learning on Empirical Probability Distributions} \\
& Supervisors: & \href{https://robjhyndman.com/}{Prof. Rob J Hydman} and \href{https://anastasiospanagiotelis.netlify.app/}{A/Prof. Anastasios Panagiotelis} \\
2016--2018 & M. in Applied Statistics & Central University of Finance and Economics, China \\
& Supervisor: & \href{https://feng.li/}{A/Prof. Feng Li} \\
2012--2016 & B.Ec in Statistics & Central University of Finance and Economics, China \\
\end{tabular}
\section{Working papers}\label{working-papers}
\hangindent=0.5em\hangafter=0 Cheng, F., Panagiotelis, A., \& Hyndman,
R. J. (2022). The effect of COVID-19 lockdowns on electricity demand in
\hangindent=2em\hangafter=0 Melbourne.
\hangindent=0.5em\hangafter=0 Cheng, F., Panagiotelis, A., \& Hyndman,
R. J. (2022). Distortion-corrected kernel density estimate on Riemannian
\hangindent=2em\hangafter=0 manifolds. (Under review)
\hangindent=0.5em\hangafter=0 Cheng, F., Hyndman, R. J., \&
Panagiotelis, A. (2021). Computationally Efficient Learning of
Statistical Manifolds. arXiv
\hangindent=2em\hangafter=0 preprint arXiv:2103.11773. (Under review)
\section{Research experience}\label{research-experience}
\begin{tabular}{ll}
2018.07--2019.01 & \textbf{Research Assistant}, National Natural Science Foundation of China Project \\
\end{tabular}
\begin{itemize}
\tightlist
\item
Assisted in the project \emph{Efficient Bayesian Flexible Density
Methods with High Dimensional Financial Data}.
\item
Completed the stochastic gradient descent application of housing price
to the multivariate response surface model.
\item
Completed the thesis titled \emph{Volatility Analysis of Housing
Prices with Bayesian Response Surface Optimization}.
\end{itemize}
\begin{tabular}{ll}
2013.04--2014.04 & \textbf{Main Participant}, National Undergraduate Innovation and Entrepreneurship Training Program of China \\
\end{tabular}
\begin{itemize}
\tightlist
\item
Initiated a municipal project, made overall arrangements for the
project, from research proposal, project fund application, plan of the
theoretical approaches and empirical analysis of the questionnaire
data.
\item
Won the Excellent Prize upon the accomplishment of the research
project.
\item
Completed the paper titled \emph{Feasibility Analysis for Developing
Commercial Insurance for Losing Only-child Problem}.
\end{itemize}
\section{Employment history}\label{employment-history}
\begin{tabular}{ll}
2022.10-- & \textbf{Senior Research Officer}, Bureau of Crime Statistics and Research, Department of Communities and Justice \\
2020.07--2023.07 & \textbf{Teaching Associate}, Department of Econometrics and Business Statistics, Monash University \\
& - \href{https://handbook.monash.edu/2021/units/ETC5513?year=2021}{ETC5513 Collaborative and reproducible practices, 2021S1, 2022S1, 2023S1} \\
& - \href{https://handbook.monash.edu/2021/units/ETC5523?year=2021}{ETC5523 Communicating with data, 2021S2} \\
& - \href{https://handbook.monash.edu/2020/units/ETF5500?year=2020}{ETF3500/ETF5500 High Dimensional Data Analysis, 2020S2, 2021S2} \\
2019.07-- & \textbf{Data Fluency Associate Instructor}, Library Research Division, Monash University Library \\
& - \href{https://www.monash.edu/data-fluency/home}{Monash Data Fluency introductory and intermidiate workshops} on R, Python, Git, Unix, HPC, etc. \\
2020.07--2020.12 & \textbf{Course Mentor}, Monash University Online Microcredential \href{https://www.futurelearn.com/microcredentials/data-driven-decision-making?utm_source=faculty_website&utm_medium=monash_organic_referrer&utm_campaign=mc_jan}{\textit{Data Science: Data-Driven Decision Making}} \\
\end{tabular}
\section{Conference presentations}\label{conference-presentations}
\hangindent=5em\hangafter=0
\begin{itemize}
\item
Invited talk, Anomaly detection and forecasting using machine learning
methods,
\href{http://www.cfenetwork.org/CFE2022/index.php}{The 16th International Conference on Computational and Financial Econometrics (CFE 2022)},
King's College London, UK, December 17-19, 2022.
\item
Contributed talk, Anomaly detection with kernel density estimation on
manifolds,
\href{http://www.compstat2022.org/index.php}{The 24th International Conference on Computational Statistics},
The University of Bologna, Italy, August 23-26, 2022.
\item
Contributed talk, Manifold learning with approximate nearest
neighbors,
\href{http://ecssc2021.com.au/}{Early Career and Student Statisticians Conference 2021},
online, July 30, 2021.
\item
Participants talk, Manifold learning with approximate nearest
neighbors,
\href{https://ws.amsi.org.au/}{Australian Mathematical Sciences Institute (AMSI) Winter School 2021},
online, July 16, 2021.
\item
Short interactive talk, Computationally efficient learning of
statistical manifolds,
\href{https://iasc-isi.org/dssv-ecda2021/}{Data Science, Statistics and Visualisation (DSSV) and European Conference on Data Analysis (ECDA)},
online, July 8, 2021.
\item
Contributed talk, Manifold learning with approximate nearest
neighbors,
\href{https://anzsc2021.com.au/}{Australian Statistical Society and New Zealand Statistical Association Conference 2021},
Melbourne (Hybrid), July 6, 2021.
\item
Contributed talk, Getting it right: improving forecast accuracy and
learning techniques Session, Monash Business School Doctoral Research
Colloquium, Melbourne, December 6, 2020.
\end{itemize}
\section{Internship experience}\label{internship-experience}
\begin{tabular}{ll}
2016.09--2017.09 & \textbf{Big Data Analyst}, Shanghai Power Xene Digital Technology Company, Beijing, China \\
2016.03--2016.04 & \textbf{Research Assistant}, China Life Insurance Company Limited, Beijing, China \\
2015.01--2015.02 & \textbf{Consultant Assistant}, Industrial and Commercial Bank of China (ICBC), Hubei, China \\
\end{tabular}
\section{Society memberships}\label{society-memberships}
\begin{tabular}{ll}
Member & Statistical Society of Australia (SSA) \\
Member & International Association for Statistical Computing (IASC) \\
Member & Australian Research Council Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS) \\
\end{tabular}
\section{Computer skills}\label{computer-skills}
\begin{tabular}{l}
Proficient in R, Git/GitHub, LaTex \\
Skilled in GNU/Linux and have experience on high performance Linux clusters \\
Intermediate in Python, HTML/CSS \\
\end{tabular}
\section{Honours and awards}\label{honours-and-awards}
\begin{tabular}{rl}
2022 & Graduate Research Completion Award (GRCA), Monash University \\
2022 & Purple Letter (Outstanding Unit Evaluation of Teaching) for Tutoring ETC5513 2022S1, Monash Business School \\
2022 & Purple Letter for Tutoring ETF3500 2021S2, Monash Business School \\
2021 & Purple Letter for Tutoring ETC5513 2021S1, Monash Business School \\
2021 & Runner-up for AMSI Winter School Participants Talk, \href{https://ws.amsi.org.au/}{Australian Mathematical Sciences Institute} \\
2021 & ACEMS Business Analytics Prize(\$3000) for 2021, \href{https://acems.org.au}{ARC Centre of Excellence for Mathematical \& Statistical Frontiers} \\
2019 & Monash Graduate Scholarship, Monash University, yearly from 2019 to 2022 \\
2019 & Monash International Tuition Scholarship, Monash University, yearly from 2019 to 2022 \\
2018 & Outstanding Postgraduate Student, Central University of Finance and Economics (CUFE) \\
2017 & First Prize Academic Scholarship for Graduate Student, CUFE \\
2016 & Outstanding Undergraduate Student, CUFE \\
2016 & Scholarship for All-Round Development, CUFE, yearly from 2013 to 2016 \\
2016 & Scholarship for Excellent Academic Innovation, CUFE \\
2015 & Excellent Prize in National Undergraduate Statistical Contest in Modeling, Statistical Education Society of China \\
2015 & Second Prize in Contemporary Undergraduate Mathematical Contest in Modeling, China Society for Industrial \\
& and Applied Mathematics \\
2015 & National Endeavor Scholarship, Beijing Municipal Commission of Education \\
2014 & Scholarship for Excellent Student Cadre, CUFE \\
2013 & Excellent Student Cadre, School of Statistics and Mathematics, CUFE \\
\end{tabular}
\section{Referees}\label{referees}
\href{https://robjhyndman.com/}{Professor Rob J Hyndman}
FAA FASSA
Department of Econometrics and Business Statistics
Monash University, VIC 3800, Australia
Email:
\href{mailto:rob.hyndman@monash.edu}{\nolinkurl{rob.hyndman@monash.edu}}
Telephone: + 61 3 990 52358
\bigskip
\href{https://anastasiospanagiotelis.netlify.app/}{Associate Professor Anastasios Panagiotelis}
Director of the International Institute of Forecasters
Discipline of Business Analytics
University of Sydney, NSW 2006, Australia
Email:
\href{mailto:anastasios.panagiotelis@sydney.edu.au}{\nolinkurl{anastasios.panagiotelis@sydney.edu.au}}
Telephone: +61 2 9114 4742
\thispagestyle{empty}
\section{Education and
qualifications}\label{education-and-qualifications-1}
\begin{tabular}{lll}
2019--2023 & Ph.D. in Statistics & Monash University, Australia \\
& Thesis: & \emph{Manifold Learning on Empirical Probability Distributions} \\
& Supervisors: & \href{https://robjhyndman.com/}{Prof. Rob J Hydman} and \href{https://anastasiospanagiotelis.netlify.app/}{A/Prof. Anastasios Panagiotelis} \\
2016--2018 & M. in Applied Statistics & Central University of Finance and Economics, China \\
& Supervisor: & \href{https://feng.li/}{A/Prof. Feng Li} \\
2012--2016 & B.Ec in Statistics & Central University of Finance and Economics, China \\
\end{tabular}
\section{Working papers}\label{working-papers-1}
\hangindent=0.5em\hangafter=0 Cheng, F., Panagiotelis, A., \& Hyndman,
R. J. (2022). The effect of COVID-19 lockdowns on electricity demand in
\hangindent=2em\hangafter=0 Melbourne.
\hangindent=0.5em\hangafter=0 Cheng, F., Panagiotelis, A., \& Hyndman,
R. J. (2022). Distortion-corrected kernel density estimate on Riemannian
\hangindent=2em\hangafter=0 manifolds. (Under review)
\hangindent=0.5em\hangafter=0 Cheng, F., Hyndman, R. J., \&
Panagiotelis, A. (2021). Computationally Efficient Learning of
Statistical Manifolds. arXiv
\hangindent=2em\hangafter=0 preprint arXiv:2103.11773. (Under review)
\section{Research experience}\label{research-experience-1}
\begin{tabular}{ll}
2018.07--2019.01 & \textbf{Research Assistant}, National Natural Science Foundation of China Project \\
\end{tabular}
\begin{itemize}
\tightlist
\item
Assisted in the project \emph{Efficient Bayesian Flexible Density
Methods with High Dimensional Financial Data}.
\item
Completed the stochastic gradient descent application of housing price
to the multivariate response surface model.
\item
Completed the thesis titled \emph{Volatility Analysis of Housing
Prices with Bayesian Response Surface Optimization}.
\end{itemize}
\begin{tabular}{ll}
2013.04--2014.04 & \textbf{Main Participant}, National Undergraduate Innovation and Entrepreneurship Training Program of China \\
\end{tabular}
\begin{itemize}
\tightlist
\item
Initiated a municipal project, made overall arrangements for the
project, from research proposal, project fund application, plan of the
theoretical approaches and empirical analysis of the questionnaire
data.
\item
Won the Excellent Prize upon the accomplishment of the research
project.
\item
Completed the paper titled \emph{Feasibility Analysis for Developing
Commercial Insurance for Losing Only-child Problem}.
\end{itemize}
\section{Employment history}\label{employment-history-1}
\begin{tabular}{ll}
2022.10-- & \textbf{Senior Research Officer}, Bureau of Crime Statistics and Research, Department of Communities and Justice \\
2020.07--2023.07 & \textbf{Teaching Associate}, Department of Econometrics and Business Statistics, Monash University \\
& - \href{https://handbook.monash.edu/2021/units/ETC5513?year=2021}{ETC5513 Collaborative and reproducible practices, 2021S1, 2022S1, 2023S1} \\
& - \href{https://handbook.monash.edu/2021/units/ETC5523?year=2021}{ETC5523 Communicating with data, 2021S2} \\
& - \href{https://handbook.monash.edu/2020/units/ETF5500?year=2020}{ETF3500/ETF5500 High Dimensional Data Analysis, 2020S2, 2021S2} \\
2019.07-- & \textbf{Data Fluency Associate Instructor}, Library Research Division, Monash University Library \\
& - \href{https://www.monash.edu/data-fluency/home}{Monash Data Fluency introductory and intermidiate workshops} on R, Python, Git, Unix, HPC, etc. \\
2020.07--2020.12 & \textbf{Course Mentor}, Monash University Online Microcredential \href{https://www.futurelearn.com/microcredentials/data-driven-decision-making?utm_source=faculty_website&utm_medium=monash_organic_referrer&utm_campaign=mc_jan}{\textit{Data Science: Data-Driven Decision Making}} \\
\end{tabular}
\section{Conference presentations}\label{conference-presentations-1}
\hangindent=5em\hangafter=0
\begin{itemize}
\item
Invited talk, Anomaly detection and forecasting using machine learning
methods,
\href{http://www.cfenetwork.org/CFE2022/index.php}{The 16th International Conference on Computational and Financial Econometrics (CFE 2022)},
King's College London, UK, December 17-19, 2022.
\item
Contributed talk, Anomaly detection with kernel density estimation on
manifolds,
\href{http://www.compstat2022.org/index.php}{The 24th International Conference on Computational Statistics},
The University of Bologna, Italy, August 23-26, 2022.
\item
Contributed talk, Manifold learning with approximate nearest
neighbors,
\href{http://ecssc2021.com.au/}{Early Career and Student Statisticians Conference 2021},
online, July 30, 2021.
\item
Participants talk, Manifold learning with approximate nearest
neighbors,
\href{https://ws.amsi.org.au/}{Australian Mathematical Sciences Institute (AMSI) Winter School 2021},
online, July 16, 2021.
\item
Short interactive talk, Computationally efficient learning of
statistical manifolds,
\href{https://iasc-isi.org/dssv-ecda2021/}{Data Science, Statistics and Visualisation (DSSV) and European Conference on Data Analysis (ECDA)},
online, July 8, 2021.
\item
Contributed talk, Manifold learning with approximate nearest
neighbors,
\href{https://anzsc2021.com.au/}{Australian Statistical Society and New Zealand Statistical Association Conference 2021},
Melbourne (Hybrid), July 6, 2021.
\item
Contributed talk, Getting it right: improving forecast accuracy and
learning techniques Session, Monash Business School Doctoral Research
Colloquium, Melbourne, December 6, 2020.
\end{itemize}
\section{Internship experience}\label{internship-experience-1}
\begin{tabular}{ll}
2016.09--2017.09 & \textbf{Big Data Analyst}, Shanghai Power Xene Digital Technology Company, Beijing, China \\
2016.03--2016.04 & \textbf{Research Assistant}, China Life Insurance Company Limited, Beijing, China \\
2015.01--2015.02 & \textbf{Consultant Assistant}, Industrial and Commercial Bank of China (ICBC), Hubei, China \\
\end{tabular}
\section{Society memberships}\label{society-memberships-1}
\begin{tabular}{ll}
Member & Statistical Society of Australia (SSA) \\
Member & International Association for Statistical Computing (IASC) \\
Member & Australian Research Council Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS) \\
\end{tabular}
\section{Computer skills}\label{computer-skills-1}
\begin{tabular}{l}
Proficient in R, Git/GitHub, LaTex \\
Skilled in GNU/Linux and have experience on high performance Linux clusters \\
Intermediate in Python, HTML/CSS \\
\end{tabular}
\section{Honours and awards}\label{honours-and-awards-1}
\begin{tabular}{rl}
2022 & Graduate Research Completion Award (GRCA), Monash University \\
2022 & Purple Letter (Outstanding Unit Evaluation of Teaching) for Tutoring ETC5513 2022S1, Monash Business School \\
2022 & Purple Letter for Tutoring ETF3500 2021S2, Monash Business School \\
2021 & Purple Letter for Tutoring ETC5513 2021S1, Monash Business School \\
2021 & Runner-up for AMSI Winter School Participants Talk, \href{https://ws.amsi.org.au/}{Australian Mathematical Sciences Institute} \\
2021 & ACEMS Business Analytics Prize(\$3000) for 2021, \href{https://acems.org.au}{ARC Centre of Excellence for Mathematical \& Statistical Frontiers} \\
2019 & Monash Graduate Scholarship, Monash University, yearly from 2019 to 2022 \\
2019 & Monash International Tuition Scholarship, Monash University, yearly from 2019 to 2022 \\
2018 & Outstanding Postgraduate Student, Central University of Finance and Economics (CUFE) \\
2017 & First Prize Academic Scholarship for Graduate Student, CUFE \\
2016 & Outstanding Undergraduate Student, CUFE \\
2016 & Scholarship for All-Round Development, CUFE, yearly from 2013 to 2016 \\
2016 & Scholarship for Excellent Academic Innovation, CUFE \\
2015 & Excellent Prize in National Undergraduate Statistical Contest in Modeling, Statistical Education Society of China \\
2015 & Second Prize in Contemporary Undergraduate Mathematical Contest in Modeling, China Society for Industrial \\
& and Applied Mathematics \\
2015 & National Endeavor Scholarship, Beijing Municipal Commission of Education \\
2014 & Scholarship for Excellent Student Cadre, CUFE \\
2013 & Excellent Student Cadre, School of Statistics and Mathematics, CUFE \\
\end{tabular}
\section{Referees}\label{referees-1}
\href{https://robjhyndman.com/}{Professor Rob J Hyndman}
FAA FASSA
Department of Econometrics and Business Statistics
Monash University, VIC 3800, Australia
Email:
\href{mailto:rob.hyndman@monash.edu}{\nolinkurl{rob.hyndman@monash.edu}}
Telephone: + 61 3 990 52358
\bigskip
\href{https://anastasiospanagiotelis.netlify.app/}{Associate Professor Anastasios Panagiotelis}
Director of the International Institute of Forecasters
Discipline of Business Analytics
University of Sydney, NSW 2006, Australia
Email:
\href{mailto:anastasios.panagiotelis@sydney.edu.au}{\nolinkurl{anastasios.panagiotelis@sydney.edu.au}}
Telephone: +61 2 9114 4742
\end{document}