Yuk Yee Leung

Talks

Invited Talks and Conference Presentations

Date Event Title
Sept 2017 Presentation, Penn RNP group, The University of Pennsylvania, Philadelphia, USA Computational methods for non-coding RNA structure and expression.
Jan 2017 Presentation, Alzheimer’s Disease Sequencing Project Discovery Workshop IV, Bethesda, USA GCAD/ADSP Production Workflow.
Oct 2016 Plenary invited talk, IEEE International Conference on Computational Advances in Bio and Medical Sciences (ICCABS), Atlanta, USA Bioinformatics tools for RNA-seq.
Jan 2014 Seminar, Single Cell Systems Biology Lab, The University of Pennsylvania, Philadelphia, USA Developing machine learning algorithms for RNA-seq Experiments.
Dec 2013 Genomics Strategic Research Theme and Centre for Genomic Sciences, The University of Hong Kong, Hong Kong Analyzing RNA-seq Experiments Using Machine Learning Tools.
Aug 2013 3rd EITA Young Investigator Conference (EITA-YIC), Massachusetts Institute of Technology, Boston, USA CoRAL: a machine learning approach to predict non-coding RNAs from small RNA-sequencing data.
July 2013 Selected platform presentation in session Biomarkers: Novel Biomarkers in Blood and CSF, 25nd annual Alzheimer's Association International Conference (AAIC), Boston, USA Identifying multi-analyte CSF biomarkers for Alzheimer's disease in a multi-cohort study.
June 2012 Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong Identifying Protein Biomarkers for Diagnosis and Prognosis of Alzheimer's Disease.
Nov 2011 6th IASTED International Conference on Computational Intelligence and Bioinformatics (CiB), Pittsburgh, USA Multi-class classification using covariance among binary classifiers and its application to multi-class classification using the analysis of tumor microarrays.
Aug 2011 1st EITA Young Investigator Conference (EITA-YIC), Harvard University, Cambridge, USA MCAB - Multiple Tumor Class Classification using Covariance among Binary Classifiers.
Sept 2006 Biomedical Engineering Conference (BME), Hong Kong Effects of Number of Genes chosen in Microarray Data on Predictive Accuracy of Supervised Classification.
Sept 2006 Biomedical Engineering Conference (BME), Hong Kong Effect of Preprocessing on Microarray Data Analysis.
Sept 2006 Biomedical Engineering Conference (BME), Hong Kong A New Clustering Algorithm for Microarray Data.
July 2006 4th Regional Inter-University Postgraduate Electrical and Electronics Engineering Conference (RIUPEEEC), Macau Microarray Data Analysis for Acute Leukemia Classification - Is Gene Selection the Only Factor.

Teaching and Mentoring

Date Event Title
March 2015 Lecture for GCB537/BIOL537/CIS635: Advanced Computational Biology, The University of Pennsylvania Support Vector Machine and Random Forest.
March 2013 Lecture for GCB537/BIOL537/CIS635: Advanced Computational Biology, The University of Pennsylvania Review on Supervised Machine Learning Algorithms.
2013-2014 Li-San Wang's Lab, Perelman School of Medicine, The University of Pennsylvania Undergraduate student mentoring.
2010-2011 Li-San Wang's Lab, Perelman School of Medicine, The University of Pennsylvania Master student mentoring.

Contact Information

3700 Hamilton Walk
D101 Richards Medical Research Laboratories
Perelman School of Medicine
University of Pennsylvania
Philadelphia PA 19104