We are always looking for highly motivated group members. Please feel free to contact Heejung Shim if you are interested in joining us or having a rotation.
Heejung Shim: I am a Group Leader in the Melbourne Integrative Genomics (MIG) and Lecturer (equivalent to Assistant Professor in US) in the School of Mathematics and Statistics at the University of Melbourne. I completed my BS in Mathematics (with a double major in Computer Science and Engineering) from the POSTECH, and my PhD in Statistics from the University of Wisconsin at Madison, advised by Dr. Bret Larget. I did a postdoc at the University of Chicago working with Dr. Matthew Stephens. Previous to my position here, I was a tenure track Assistant Professor in the Department of Statistics at the Purdue University for two years. Currently I retain an affiliation with Purdue as an Adjunct Assistant Professor.
Qian Feng, PhD student in Statistics, Co-supervised with Dr. Yao-ban Chan (Sept 2017-present): I did my undergrad in Mathematics and Applied Mathematics at China Agricultural University, and my MSc in Epidemiology and Medical Statistics at Renmin University of China. My research interests include Fuzzy Mathematics, Variable Selection, Data Mining, Machine Learning and Bioinformatics. My current research project is about phylogenetic modelling of malaria var genes. For more information on the project, please see here.
Yupei You, PhD student in Bioinformatics, Co-supervised with Dr. Mike Clark (Feb 2019-present): I did my Bachelor in Bioinformatics at the Zhengzhou University in China and completed Master of Bioinformatics at the University of Melbourne. I am curious about the story behind genetic sequences and my research interests also include machine learning and probability modelling. My current projects focus on the analysis of alternative splicing using Oxford Nanopore sequencing data.
Undergraduates and Masters Students
Brendan Law, Master student in Mathematics and Statistics (July 2018-present): I majored in Economics and Statistics in my undergraduate degree at the University of Melbourne. Since graduating, I worked at EY in their Actuarial team, focusing on banking risk models, and currently work as a data scientist at Coles, working with problems in supply chain, merchandise ranging and marketing. I am looking forward to performing research and exploratory work in an academic, rather than commercial, environment, as well as exploring how mathematical methods and algorithms are applied to data in the biological and genetic domain. My spare time is spent running, playing board games, and following road-race cycling.
Ziwei Liu, Master student in Mathematics and Statistics, Co-supervised with Prof. Terry Speed (July 2018-present): I completed my BS in Applied Statistics at the Northeastern University, China. My current research project is about analysis of ChIP-seq data. I’m also interested in machine learning and data science, in particular, in the fields of human health and Internet.
Jiangrong Ouyang, Master student in Mathematics and Statistics (Feb 2018-present): I completed my Bachelor in Mathematics and Statistics at the University of Melbourne. I’m interested in probability and stochastic modelling. My current projects focus on developing statistical models for analysis of ribo-seq data and understanding translational regulatory mechanisms.
Daniel Pedersen, Master student in Bioinformatics at Uppsala University, Co-supervised with Dr. Mike Clark (July 2018-present): I’m in Melbourne to write my thesis under an exchange research program. My current projects focus on analysing nanopore sequencing data to better understand alternative splicing. I come from a background in Physics, in which I’ve earned a BSc at Uppsala University in Sweden. I also have 4 years of professional experience in systems development. Other curiosities of mine include deep learning, theoretical biology and personal genomics.
Denny Shin, Master student in Bioinformatics (July 2018-present): I did my Bachelor in Bio-engineering at the University of Melbourne. My interests are anything involving maths and computing! My current research projects focus on scRNA-seq analysis for deconvolution on bulk RNA-seq data and cell-type-specific eQTL analysis.
Former Group Members
- Patrick Medina: PhD Student in Statistics at Purdue University (co-advised with Prof. Rebecca Doerge), Finished 2017, WAVETDA: Bayesian Statistics, Wavelets and Topological Data Analysis to Assess Statistical Shape.
Former Group Members: Undergraduates and Masters Students
- Israa Al-Qassem (2016-2017): MSc Student in CS at Purdue University, Currently PhD Student, Stefan Canzar group at LMU, Germany
- Yash Kumar Sonthalia (2016-2017): MSc Student in CS at Purdue University, Currently software engineer at Google
- Nathan Hankey (2016-2017): MSc Student in Statistics at Purdue University, Currently Statistical Analyst at Medpace
- Sicheng Hao (2016-2017): Undergraduate Student in Statistics at Purdue University, Currently MSc Student in Data Science, Olga Vitek group at Northeastern University