Curriculum Vitae

Education

Haowen Zhou
Tel: +86-18190722339
Email: haowen.zhou19@gmail.com

Zhiyuan Honors Program (<10% students admitted), Shanghai Jiao Tong University (SJTU) 09/2017-06/2021
Bachelor of Science in Bioscience

Standardized Test and GPA:

TOEFL: 102 Overall GPA: 3.26/4.3 Senior GPA: 3.56/4.3

Scholarship and Honors:

Zhiyuan Honors Scholarships(2017-2020, for 4 consecutive years) Zhiyuan Honors Sunshine Leader Scholarship (2018)
Undergraduate Scholarships(2017-2020, for 4 consecutive years)Overseas Study Scholarship (2019,2021)

Overseas Research:

Broad Institute of MIT and Harvard (Research Assistant), Yale University (Summer Research Intern)

Skills & Interests


Coding:

C++ (3 yrs), Perl (3 yrs), Python (1 yr), Javascript (3 yrs)

Data Analysis & Management:

R (3 yrs), MySQL (2 yr), Linux system operation and server management

Web Design:

HTML (3 yrs), CSS (3 yrs), Javascript (3 yrs), PHP Language (3 yrs)

Selected Enrolled Courses:

Interdisciplinarity:

  • Computational Biology, Biological Big Data Analysis, Introduction to Functional Genomics, Biostatistics, Introduction to Cardiovascular Mechanobiology,

Biology & Chemistry:

  • Biology (Micro/Macro),Genetics, Biochemistry, Cell Biology
  • Chemical Principles, Organic Chemistry,

Math, Physics, Statistics & Computer Science:

  • Mathematics Analysis, Linear Algebra, Probability and Statistics, Generalized Linear Model
  • Introduction to physics
  • Introduction to Computing, Thinking and Approach of Programming, Algorithm and Data Structure, Machine Learning, Principle and Technology of Database

Laboratory & Seminar:

  • Introductory Biology Seminar, Cell Biology Seminar, Genetics Seminar
  • Laboratory of Chemical Principles, Physics Laboratory, Organic Chemistry Laboratory, Biology Laboratory

Research Interests:

Computational Biology/Bioinformatics
Single Cell Genomics, Machine Learning, Image Processing

Selected Research Projects


Wang Lab (Instructed by Dr. Xiao Wang), Broad Institute of MIT and Harvard

02/2020-Now

Interdisciplinarity:

  • Computational Biology, Biological Big Data Analysis, Introduction to Functional Genomics, Biostatistics, Introduction to Cardiovascular Mechanobiology,

Biology & Chemistry:

  • Biology (Micro/Macro),Genetics, Biochemistry, Cell Biology
  • Chemical Principles, Organic Chemistry,

Math, Physics, Statistics & Computer Science:

  • Mathematics Analysis, Linear Algebra, Probability and Statistics, Generalized Linear Model
  • Introduction to physics
  • Introduction to Computing, Thinking and Approach of Programming, Algorithm and Data Structure, Machine Learning, Principle and Technology of Database

Laboratory & Seminar:

  • Introductory Biology Seminar, Cell Biology Seminar, Genetics Seminar
  • Laboratory of Chemical Principles, Physics Laboratory, Organic Chemistry Laboratory, Biology Laboratory

Interdisciplinarity:

  • Computational Biology, Biological Big Data Analysis, Introduction to Functional Genomics, Biostatistics, Introduction to Cardiovascular Mechanobiology,

Biology & Chemistry:

  • Biology (Micro/Macro),Genetics, Biochemistry, Cell Biology
  • Chemical Principles, Organic Chemistry,

Math, Physics, Statistics & Computer Science:

  • Mathematics Analysis, Linear Algebra, Probability and Statistics, Generalized Linear Model
  • Introduction to physics
  • Introduction to Computing, Thinking and Approach of Programming, Algorithm and Data Structure, Machine Learning, Principle and Technology of Database

Laboratory & Seminar:

  • Introductory Biology Seminar, Cell Biology Seminar, Genetics Seminar
  • Laboratory of Chemical Principles, Physics Laboratory, Organic Chemistry Laboratory, Biology Laboratory

Interdisciplinarity:

  • Computational Biology, Biological Big Data Analysis, Introduction to Functional Genomics, Biostatistics, Introduction to Cardiovascular Mechanobiology,

Biology & Chemistry:

  • Biology (Micro/Macro),Genetics, Biochemistry, Cell Biology
  • Chemical Principles, Organic Chemistry,

Math, Physics, Statistics & Computer Science:

  • Mathematics Analysis, Linear Algebra, Probability and Statistics, Generalized Linear Model
  • Introduction to physics
  • Introduction to Computing, Thinking and Approach of Programming, Algorithm and Data Structure, Machine Learning, Principle and Technology of Database

Laboratory & Seminar:

  • Introductory Biology Seminar, Cell Biology Seminar, Genetics Seminar
  • Laboratory of Chemical Principles, Physics Laboratory, Organic Chemistry Laboratory, Biology Laboratory

Interdisciplinarity:

  • Computational Biology, Biological Big Data Analysis, Introduction to Functional Genomics, Biostatistics, Introduction to Cardiovascular Mechanobiology,

Biology & Chemistry:

  • Biology (Micro/Macro),Genetics, Biochemistry, Cell Biology
  • Chemical Principles, Organic Chemistry,

Math, Physics, Statistics & Computer Science:

  • Mathematics Analysis, Linear Algebra, Probability and Statistics, Generalized Linear Model
  • Introduction to physics
  • Introduction to Computing, Thinking and Approach of Programming, Algorithm and Data Structure, Machine Learning, Principle and Technology of Database

Laboratory & Seminar:

  • Introductory Biology Seminar, Cell Biology Seminar, Genetics Seminar
  • Laboratory of Chemical Principles, Physics Laboratory, Organic Chemistry Laboratory, Biology Laboratory

Tye Lab (Instructed by Dr. Nancy Padilla ), Salk Institute / MIT BCS

02/2020-11/2020

Interdisciplinarity:

  • Computational Biology, Biological Big Data Analysis, Introduction to Functional Genomics, Biostatistics, Introduction to Cardiovascular Mechanobiology,

Biology & Chemistry:

  • Biology (Micro/Macro),Genetics, Biochemistry, Cell Biology
  • Chemical Principles, Organic Chemistry,

Math, Physics, Statistics & Computer Science:

  • Mathematics Analysis, Linear Algebra, Probability and Statistics, Generalized Linear Model
  • Introduction to physics
  • Introduction to Computing, Thinking and Approach of Programming, Algorithm and Data Structure, Machine Learning, Principle and Technology of Database

Laboratory & Seminar:

  • Introductory Biology Seminar, Cell Biology Seminar, Genetics Seminar
  • Laboratory of Chemical Principles, Physics Laboratory, Organic Chemistry Laboratory, Biology Laboratory

Zhao Center (Instructed by Dr. Hongyu Zhao & Dr. Zapata Heidi), School of Medicine, Yale University

07/2019-09/2019

Interdisciplinarity:

  • Computational Biology, Biological Big Data Analysis, Introduction to Functional Genomics, Biostatistics, Introduction to Cardiovascular Mechanobiology,

Biology & Chemistry:

  • Biology (Micro/Macro),Genetics, Biochemistry, Cell Biology
  • Chemical Principles, Organic Chemistry,

Math, Physics, Statistics & Computer Science:

  • Mathematics Analysis, Linear Algebra, Probability and Statistics, Generalized Linear Model
  • Introduction to physics
  • Introduction to Computing, Thinking and Approach of Programming, Algorithm and Data Structure, Machine Learning, Principle and Technology of Database

Laboratory & Seminar:

  • Introductory Biology Seminar, Cell Biology Seminar, Genetics Seminar
  • Laboratory of Chemical Principles, Physics Laboratory, Organic Chemistry Laboratory, Biology Laboratory

Publication


Integrative in situ mapping of single-cell transcriptional states and tissue histopathology in an Alzheimer’s disease model

Author: Hu Zeng*, Jiahao Huang*, Haowen Zhou*, William J. Meilandt, Borislav Dejanovic, Yiming Zhou, Christopher J. Bohlen, Seung-Hye Lee, Jingyi Ren, Albert Liu, Hao Sheng, Jia Liu, Morgan Sheng and Xiao Wang

Submitted to Nature Neuroscience. The manuscript was sent for peer review in Sep 15, 2021.
ClusterMap: multi-scale clustering analysis of spatial gene expression

Author: Yichun He*, Xin Tang*, Jiahao Huang, Jingyi Ren, Haowen Zhou, Kevin Chen, Albert Liu, Hailing Shi, Zuwan Lin, Qiang Li, Abhishek Aditham, Johain Ounadjela, Emanuelle Grody, Jian Shu, Jia Liu, and Xiao Wang

Link: bioRxiv, 2021 Accepted by Nature Communications in Sep 9, 2021
In situ electro-sequencing in three-dimensional tissues

Author: Qiang Li*, Zuwan Lin*, Ren Liu*, Xin Tang*, Jiahao Huang, Yichun He, Haowen Zhou, Hao Sheng, Hailing Shi, Xiao Wang, Jia Liu

Link: bioRxiv, 2021
AlphaTracker: A Multi-Animal Tracking and Behavioral Analysis Tool

Author: Zexin Chen*, Ruihan Zhang*, Yu Eva Zhang, Haowen Zhou, Hao-Shu Fang, Rachel R. Rock, Aneesh Bal, Nancy Padilla-Coreano, Laurel Keyes, Kay M. Tye, Cewu Lu

Link: bioRxiv, 2020