Resumes: Minor improvements and proofreading

2 files changed, 54 insertions, 40 deletions

diff --git a/resume-en.tex b/resume-en.tex
index ca75b8c..a5049b2 100644
--- a/resume-en.tex
+++ b/resume-en.tex
@@ -63,8 +63,8 @@
 % Summary & Objectives
 %======================================================================
 Highly-motivated PhD candidate in Physics with good foundations of math
-and statistics, and familiar with the basics of machine learning as well
-as signal and image processing.
+and statistics, and familiar with the basics of data analysis, machine
+learning, as well as signal and image processing.
 Enthusiastic about computer technologies with 10 years experience
 in Linux and BSD, and involved in several open source projects (e.g.,
 DragonFly BSD).
@@ -84,7 +84,7 @@ that I can grow with as I achieve company goals.
   \comptence{Data Analysis}%
     {R, pandas, scikit-learn; matplotlib, ggplot2; SQL (basic knowledge)}
   \comptence{Tools}%
-    {Regular expression; Jupyter Notebook; SSH, Git, Make; Ansible}
+    {Regular expression; Jupyter notebook; SSH, Git, Make; Ansible}
   \comptence{Web Development}%
     {Django, Tornado; jQuery, Bootstrap; JavaScript, HTML5}
   \comptence{Typesetting}%
@@ -103,7 +103,7 @@ that I can grow with as I achieve company goals.
     {Physics}%
     {PhD (candidate; expected to graduate in early 2019)}
 
-  \separator{0.7em}
+  \separator{0.5em}
   \education%
     {September 2009}%
     [June 2013]%
@@ -128,18 +128,19 @@ that I can grow with as I achieve company goals.
       \item Developed the low-frequency radio sky simulation software:
         \link{https://github.com/liweitianux/fg21sim}{\texttt{FG21sim}}.
       \item Significantly improved the modeling of radio halos,
-        and integrated the instrumental effects of radio interferometers.
-      \item Quantitatively evaluated the impacts of radio halos on
-        reionization signal detection, and finished the journal paper.
-      \item Collaborated in classifying the radio galaxies by morphologies
-        using a deep convolutional neutral network.
+        and integrated the instrumental effects of radio interferometers
+        into the simulation pipeline.
+      \item Quantitatively evaluated the impacts of radio halos on the
+        detection of reionization signals, and finished the journal paper.
+      \item Collaborated in classifying the radio galaxies according to
+        the morphologies using a deep Convolutional Neutral Network (CNN).
       \item Used algorithms such as wavelet to denoise and enhance X-ray
         astronomical images.
       \item Extracted both the spatial and spectral information of X-ray
-        images, and used the support vector machine (SVM) to identify the
+        images, and used the Support Vector Machine (SVM) to identify the
         potential point sources.
     \end{itemize}}%
-    [Machine learning, CNN, SVM, Image processing, Python]
+    [Python, Machine learning, CNN, SVM, Image processing]
 
   \separator{0.7em}
   \project
@@ -173,8 +174,12 @@ that I can grow with as I achieve company goals.
     {Attended \enquote{The 2$^{\rm nd}$ China-Australia SKA Big Data Workshop.}}%
     [\begin{itemize}
       \item Implemented the data transmission functionality between the
-        NGAS data storage system and the DALiuGE data processing system.
-      \item Learned team collaboration and agile development methods.
+        \link{https://github.com/ICRAR/ngas}{\texttt{NGAS}}
+        data storage system and the
+        \link{https://github.com/ICRAR/daliuge}{\texttt{DALiuGE}}
+        data processing system.
+      \item Gained team collaboration experience and
+        learned agile development methods.
     \end{itemize}]%
     [Data transmission, Data storage, Agile development, Python]
 
@@ -208,7 +213,7 @@ that I can grow with as I achieve company goals.
   \experience
     {September 2017}%
     {Involved in writing the
-      \enquote{Large-scale Diffuse Foreground Sources} section in
+      \enquote{Large-scale Diffuse Foreground Sources} section for
       \enquote{The Chinese SKA Science White Book.}}
 
   \separator{0.5em}
@@ -260,11 +265,11 @@ that I can grow with as I achieve company goals.
         to locate the most likely Single-Nucleotide Polymorphisms (SNPs)
         associated with a trait or disease.
       \item Used the R programming language to perform Logistic regressions
-        and hypothesis testings between the SNP codes and traits, and
+        and hypothesis testings between SNPs and traits, and
         identified the most possible SNPs and genes that may cause the
         disease.
     \end{itemize}]%
-    [R, Regression analysis, Hypothesis testing]
+    [R, Data cleaning, Regression analysis, Hypothesis testing]
 
   \separator{0.5em}
   \experience
@@ -284,7 +289,7 @@ that I can grow with as I achieve company goals.
   \experience
     [July 2013]%
     {September 2013}%
-    {Summer intern @ 97 Suifang}%
+    {Summer intern @ 97 Suifang (startup company)}%
     [\begin{itemize}
       \item Developed the website to help patients with \textit{hepatitis B}
         track various indicators in their analysis reports.
@@ -363,6 +368,8 @@ that I can grow with as I achieve company goals.
   \entry{September 2016}%
     {Participation Award,
       The 13$^{\rm th}$ China Post-Graduate Mathematical Contest in Modeling}
+  \entry{July 2014}%
+    {Outstanding Teaching Assistant, College Physics}
   \entry{November 2013}%
     {Outstanding PhD Student Entrance Scholarship of Shanghai Jiao Tong University}
   \entry{October 2012}%
diff --git a/resume-zh.tex b/resume-zh.tex
index 5286942..abf1b0a 100644
--- a/resume-zh.tex
+++ b/resume-zh.tex
@@ -62,9 +62,9 @@
 % Summary & Objectives
 %======================================================================
 {\onehalfspacing\hspace{1.7em}
-物理学专业直博 5 年级研究生，预计 2019 年初毕业，扎实的物理、数学与统计学
-基础，熟悉信号与图像处理、传统机器学习与深度神经网络的基本方法。
-热衷计算机和网络技术，有长达 10 年的 Linux 和 BSD 使用经验。
+物理学专业直博 5 年级研究生，有扎实的物理、数学与统计学基础，
+并且熟悉统计分析、机器学习、信号与图像处理的基本方法。
+热衷计算机技术，有 10 年的 Linux 和 BSD 使用经验。
 热爱自由开源精神，并积极参与 DragonFly BSD 等多个开源项目。
 拥有计算机专长，能熟练使用 Python 和 R 语言，对数据分析有强烈兴趣，
 真诚应聘贵公司的\emph{\myposition}职位。
@@ -82,7 +82,7 @@
   \comptence{数据分析}%
     {R, pandas, scikit-learn; matplotlib, ggplot2; SQL（了解）}
   \comptence{工具}%
-    {正则表达式; Jupyter Notebook; SSH, Git, Make; Ansible}
+    {正则表达式; Jupyter notebook; SSH, Git, Make; Ansible}
   \comptence{网站开发}%
     {Django, Tornado; jQuery, Bootstrap; JavaScript, HTML5}
   \comptence{排版}%
@@ -124,14 +124,15 @@
     {\begin{itemize}
       \item 使用 Python 开发低频射电天文模拟软件：
             \link{https://github.com/liweitianux/fg21sim}{\texttt{FG21sim}}
-      \item 显著改进星系团射电晕的建模，并考虑低频干涉阵列的实际观测效应
+      \item 显著改进星系团射电晕的建模，并考虑低频干涉阵列的复杂仪器效应
       \item 量化评估射电晕对探测宇宙再电离信号的影响，并完成期刊论文
-      \item 合作利用深度卷积神经网络对 FIRST 巡天的射电星系图像做形态分类
+      \item 合作利用深度卷积神经网络（CNN）对 FIRST 巡天的射电星系图像
+            根据形态特征进行分类
       \item 利用小波分析等算法，对 X 射线天文图像进行去噪与增强
       \item 提取 X 射线天文图像的空间和光谱信息，利用支持向量机（SVM）
             进行分类，探测点源
     \end{itemize}}%
-    [机器学习, CNN, SVM, 图像处理, Python]
+    [Python, 机器学习, CNN, SVM, 图像处理]
 
   \separator{0.7em}
   \project
@@ -143,8 +144,8 @@
     {\begin{itemize}
       \item 处理 200 多个 \textit{Chandra} X 射线卫星观测的星系团数据，
             分析其图像与光谱
-      \item 筛选并构建样本，搜集 SDSS 光学波段数据，研究星系团中央辐射
-            超出与其中央主导星系之间的关联
+      \item 构建样本，搜集 SDSS 光学波段数据，研究星系团中央辐射超出
+            与其中央主导星系之间的关联
       \item 编写并维护一套数据处理程序：
             \link{https://github.com/liweitianux/chandra-acis-analysis}%
               {\texttt{chandra-acis-analysis}}
@@ -161,8 +162,12 @@
     {2018.04}%
     {参加\enquote{第二届中澳 SKA 大数据工作研讨会}}%
     [\begin{itemize}
-      \item 实现数据存储系统 NGAS 与数据处理系统 DALiuGE 之间的数据传输功能
-      \item 学习团队协作和敏捷开发模式
+      \item 实现数据存储系统
+            \link{https://github.com/ICRAR/ngas}{\texttt{NGAS}}
+            与数据处理系统
+            \link{https://github.com/ICRAR/daliuge}{\texttt{DALiuGE}}
+            之间的数据传输功能
+      \item 提升团队协作能力和学习敏捷开发方法
     \end{itemize}]%
     [数据传输, 数据存储, 敏捷开发, Python]
 
@@ -203,7 +208,7 @@
       \item 与上海胸科医院合作，尝试通过分析 CT 图像判断肿瘤突变类型，
             帮助医生制订治疗计划
       \item 使用灰度共生矩阵（GLCM）提取图像特征，再用主成分分析（PCA）
-            降维，发现 CT 图像提供的信息不足以有效地判断出肿瘤的突变类型
+            降维分析，发现 CT 图像提供的信息不足以有效地预测肿瘤的突变类型
     \end{itemize}]%
     [特征提取, 数据降维, PCA]
 
@@ -232,11 +237,11 @@
     {2016.09}%
     {参加\enquote{第十三届全国研究生数学建模竞赛}}%
     [\begin{itemize}
-      \item 利用全基因组的方法定位与性状或疾病相关联的位点或基因
+      \item 利用全基因组（GWAS）的方法定位与性状或疾病相关联的位点（SNP）和基因
       \item 使用 R 语言对样本中的位点编码与性状做 Logistic 回归分析，
-            挑选出与该性状最相关的若干位点，并进一步确定相关系的基因
+            挑选出与该性状关联最强的若干位点，并进一步确定相关联的基因
     \end{itemize}]%
-    [R, 回归分析, 假设检验]
+    [R, 数据清洗, 回归分析, 假设检验]
 
   \separator{0.5em}
   \experience
@@ -253,7 +258,7 @@
   \experience
     [2013.07]%
     {2013.09}%
-    {暑期实习 @ 97 随访}%
+    {暑期实习 @ 97 随访（初创公司）}%
     [\begin{itemize}
       \item 开发网站，用于帮助乙肝患者记录和跟踪化验报告中的各项指标
       \item 使用 Django 开发网站后端，实现用户注册、数据存储和搜索等功能
@@ -276,19 +281,19 @@
 \begin{entries}[|]
   \entry{\textbf{英语}}{%
     \begin{description}
-      \item[阅读] 良好（顺利阅读教材和专业文献）
-      \item[写作] 良好（撰写学术论文）
-      \item[听说] 日常交流
+      \item[阅读] --- 良好（顺利阅读教材和专业文献）
+      \item[写作] --- 良好（撰写学术论文）
+      \item[听说] --- 日常交流
     \end{description}
   }
 
   \separator{0.7em}
   \entry{\textbf{汉语}}{%
     \begin{description}
-      \item[写作] 良好
-        （参与撰写项目申请、年度总结、技术报告等；
-        撰写与修订\enquote{中国 SKA 科学白皮书}章节）
-      \item[表达] 良好
+      \item[写作] --- 好
+        （参与撰写项目申请、年度总结等；
+        撰写和修订\enquote{中国 SKA 科学白皮书}章节）
+      \item[表达] --- 好
         （5 学期的助教经验）
     \end{description}
   }
@@ -318,6 +323,8 @@
 \begin{entries}
   \entry{2016.09}%
     {第十三届全国研究生数学建模竞赛 \textbullet 成功参与奖}
+  \entry{2014.07}%
+    {大学物理优秀助教}
   \entry{2013.11}%
     {上海交通大学优秀博士新生奖学金}
   \entry{2012.10}%