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 Centre for Systems Genomics 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.
Israa Al-Qassem, PhD student in Computer Science at Purdue University: I did my undergrad in Computer Engineering at Jordan University of Science and Technology in Irbid, Jordan, and my M.Sc in Computer Science at Masdar Institute in Abu Dhabi, UAE. Currently, I’m interested in data mining and bioinformatics, i.e., the application of machine learning to genetic data because as I see this field has a great potential for improving human health.
Dani Ardiyanto, Master student in Mathematics and Statistics at University of Melbourne: I earned Bachelor of Science in Statistics at Bogor Agricultural University, Indonesia. My current research project is about application of statistics in genomics and population structure.
Emery Goossens, PhD Student in Statistics at Purdue University: I completed a BA in Economics at New York University and M.Sc. in Statistics at the University of Toronto. I am interested in machine learning methods and Bayesian modeling of genomic data.
Yash Kumar Sonthalia, Master student in Computer Science at Purdue University: I did my Bachelor’s in Computer Science and Engineering from Indian Institute of Technology (IIT), Jodhpur. I am currently exploring the applications of Machine Learning in bioinformatics, specifically in RNA sequencing data. I’m also interested in applications of Machine Learning for Natural Language Processing. In my free time, I like to play squash, Dota 2 and draw sketches.
Houying Zhu, Maurice Belz Research Fellow in Statistics, School of Mathematics and Statistics, University of Melbourne: I am currently a Maurice Belz Research Fellow in Statistics at School of Mathematics and Statistics in the University of Melbourne. I completed Ph.D. in applied mathematics from the University of New South Wales, Sydney. Prior to coming to Melbourne, I was a postdoctoral fellow at the City University of Hong Kong for one year. My research interests including computational statistic, numerical analysis and machine learning, in particular, developing theories and efficient implementations of quasi-Monte Carlo methods for various applications.
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.
- Nathan Hankey (2016-2017): Master Student in Statistics at Purdue University, Currently Statistical Analyst at Medpace
- Sicheng Hao (2016-2017): Undergraduate Student in Statistics at Purdue University, Currently Research Assistant at Beth Israel Deaconess Medical Center
- Stefan Canzar
- Jacob Degner
- Xin He
- Francesca Luca
- Roger Pique-Regi
- Vinayak Rao
- Matthew Stephens
- Or Zuk