I am a third year Ph.D student in the Computational Biology and Bioinformatics Program, Yale University. My thesis advisor is Professor Mark Gerstein. I work on next-generation sequencing processing, large-scale data mining, algorithm development and implementation in bioinformatics.
Before graduate school, I obtained B.Sci. degree from Fudan University.
Structural variation (SV) refers to genomic variation that involves large pieces of DNA. Some common examples are deletion, insertion, duplication, inversion and translocation.
Structural variations can produce huge impacts on human genome. Studies have showed de novo structural variations are associated with autism (Marshall et al., 2008), schizophrenia and bipolar disorder (ISC, 2009). Moreover, somatic structural variations potentially lead to cancer development. The target of a famous drug, Imatinib(Gleevec), is a chimeric kinase product resulting from a translocation event in CML patients.
My research involves developing computational tools for structural variation discovery. As the sequencing datasets are growing, my research focuses on both computational complexity and accuracy.
Meanwhile, I work on structural variation analysis. I hope to unveil mechanisms of structural variant events using computational approaches.
There are many networks in biology: protein interaction, transcription regulation, metabolism and many more. While flowing around in these networks, information gets processed and integrated. Since creatures are often facing a constantly changing
environment, they have developed sophisticated network structures to efficiently process signal inputs from the outside world.
I am interested in understanding the underlying structures of networks and how they help organisms to achieve rapid response and adaption to the environment. Also, using graphical models, I study network perturbation and rewiring, in both physiological (adaptive) and pathological (disruptive) situations.
Although biology is already a huge fascinating world, I am intrigued by many problems in other fields as well. Especially, I would like to apply the lessons we have learnt in biology to the world at large, and vice versa.
Ph.D in Computational Bioinformatics (conc. in Comp. Sci.)
Advisor: Mark Gerstein
2012 – 2017 (expected)
B.Sci. (with Honors) in Biological Science
GPA: 3.83, Rank: 1/126
2008 – 2012
UCLA-DOE Institute for Genomics and Proteomics
CSST Fellow in Eisenberg Lab
Research Evaluation: A+
The Chinese University of Hong Kong
Harvard Summer School
Friedrich-Glück-Schule Grundschule, Oberensingen Germany
Burgschule, Plochingen Germany
Primary School, Grade 2 – 4
Accepted by Gymnasium, Plochigen
1998 – 2001
Selected Honors and Awards
Yale University Fellowship
2012 - 2015
UCLA Cross-disciplinary Scholar in Science & Technology (CSST) Fellow
Hui-Chun Chin and Tsung-Dao Lee Chinese Undergraduate Research Endowment(CURE) Fellow
2011 – 2012
National Scholarship (Ministry of Education, 2%)
Fudan Alumni Scholarship (3%)
Fosun Pharma Scholarship, First(1%)
Fude Scholarship (2%)
2013 Fall & 2014 Spring
Software Engineer Intern, Automation Dept.
Part-time Associate (Data Analysis)
Huang Lab, Fudan University
Undergraduate Research Assistant (Comp. Bio.)
2011.1 – 2012.6
Programming Languages: C/C++, Python, OpenMPI/OpenMP, MatLab, CUDA
Data Analysis: R
Others: Shell, LaTex, SQL, HTML, JS
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