Address
Lingxue Zhang
Lane Center , GHC 7411
Carnegie Mellon University
5000 Forbes Avenue
Pittsburgh, PA 15213
Email: lingxuez AT cs DOT cmu DOT edu
Lingxue Zhang
I am second year Ph.D student in Computational Biology. My advisor is Seyoung Kim. I was an undergrad in Peking Unversity in Biology, Maths, French (2006 - 2010)
CV:
pdf
Research Interests
- Developing statistical machine learning methods to apply in genome-scale data to study disease-related biological processes, from one or more datasets of genome, transcriptome, phenome, time series transcriptome, etc . The goal of these methods is to answer questions such as:
What can we learn about gene expression networks with transcriptome data? How are gene expression networks controlled by genotype? In this way genome-wise assocation and gene expression network learning are combined.
Is expression network structure perturbed and re-wired by different genotypes? The patient-specific disease mechanism learning will provide a powerful tool for personal genomics.
- Sparse graph regression of high dimensional continuous input variables and high dimensional continuous output variables.
- Exploratory data mining in limit order book data from NYSE.
currently working on:
Projects in the Past
- Music melody prediction with the sequence memoizer, a nonparametric Bayesian language model based on hierarchical Pitman Yor processes.
- The impact of demographic factors on the flu attack rate in different U.S. states with agent-based simulation system, presented at Models for Infectious Disease Agent Study (MIDAS) conference, Boston 2012. Advised by Prof. Roni Rosenfeld.
Courses
Taking
- Statistical Machine Learning (10-702)
TA
- Advanced Probability Overview (36-752)
Taken
- Optimization (10-725, fall 2012)
- Multimedia Database and Data Mining (15-826, fall 2012)
- Intermediate Statistics (10-705, fall 2012)
- Machine Learning (10-701, fall 2011)
- Object Oriented Programming in Java (95-712, fall 2011)
- Computational Structural Biology (fall 2011)
- Computational Genomics (02-810, spring 2012)
- Probablistic Graphical Models (10-708, spring 2012)
- Advanced Probability Overview (36-752, spring 2012, favourite so far)
- Cell and Systems Modeling (02-730, spring 2012)