Yuk Yee Leung

Talks

Invited Talks and Conference Presentations

Date Event Title
Oct 2020 Invited Presentation, Biomarker and Companion Diagnostics Virtual Conference. Title: TBD.
May 2020 Invited Presentation, Institute on Aging (IOA) and Center for Neurodegenerative Disease Research (CNDR) Retreat, University of Pennsylvania, Philadelphia, USA Identification of small RNA signatures for ADRD via high-throughput sequencing. (cancelled due to COVID19)
Feb 2020 Presentation, Alzheimer's Disease Genetics Consortium (ADGC) annual meeting, Philadelphia, USA Alzheimer's Disease Variant Portal (ADVP) - Harmonized Genetics Data and Evidence Collection for AD.
July 2019 Presentation, Alzheimer's Disease Genetics Consortium (ADGC) meeting at AAIC, Los Angeles, USA INFERNO analyses on AD GWAS datasets.
July 2019 Invited platform presentation, Immunity and Neurodegeneration Professional Interest Area (PIA) of the Alzheimer's Association International Society to Advance Alzheimer's Research and Treatment (ISTAART) at Alzheimer's Association International Conference, Los Angeles, USA Inferring the noncoding regulatory mechanisms underlying genetic susceptibility contributed by different CSF endophenotypes in AD.
April 2019 Invited platform presentation, Bio-IT World Conference and Expo, Boston, USA VCPA - A Cloud-Based SNP/Indel Variant Calling Pipeline and Data Management Tool Used for Analysis of WGS/WES for the Alzheimer's Disease Sequencing Project.
April 2019 Presentation, Alzheimer’s Disease Sequencing Project (ADSP) Discovery Workshop VI, Bethesda, USA Genome Center for Alzheimer's Disease.
April 2019 Presentation, Alzheimer’s Disease Sequencing Project (ADSP) Discovery Workshop VI, Bethesda, USA Interactions with related studies and datasets: ADES & TOPMed Joint Calling.
March 2019 Selected platform presentation, The 14th International Conference on Alzheimer's & Parkinson's Diseases and Related Neurological Disorders, AD/PD™ 2019, Lisbon, Portugal Circulating CSF small RNA biomarkers for Alzheimer's disease.
Feb 2019 Presentation, Alzheimer's Disease Genetics Consortium (ADGC) annual meeting, Miami, USA Inferring the shared noncoding regulatory mechanisms underlying genetic susceptibility to Alzheimer's and Parkinson's diseases.
Feb 2019 Seminar, CNDR/ADC Seminar, University of Pennsylvania, Philadelphia, USA Omics analyses for Alzheimer's disease and related dementias.
Jul 2018 Presentation, Alzheimer's Disease Genetics Consortium (ADGC) meeting at Alzheimer’s Association International Conference (AAIC), Chicago, USA GCAD ADSP data production update.
Feb 2018 Presentation, Alzheimer’s Disease Sequencing Project (ADSP) Discovery Workshop V, Bethesda, USA The Genome Center for Alzheimer's Disease (GCAD).
Jan 2018 Presentation, Alzheimer's Disease Genetics Consortium (ADGC) annual meeting, Philadelphia, USA GCAD update.
Sept 2017 Seminar, Penn RNA group, The University of Pennsylvania, Philadelphia, USA Computational methods for non-coding RNA structure and expression.
Jan 2017 Presentation, Alzheimer’s Disease Sequencing Project (ADSP) 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, Junhyong Kim Lab of Single Cell Systems Biology, The University of Pennsylvania, Philadelphia, USA Developing machine learning algorithms for RNA-seq Experiments.
Dec 2013 Seminar, 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 Invited talk, 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 Seminar, 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 Selected platform presentation, 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 Invited talk, 1st EITA Young Investigator Conference (EITA-YIC), Harvard University, Cambridge, USA MCAB - Multiple Tumor Class Classification using Covariance among Binary Classifiers.
Sept 2006 Selected platform presentation, Biomedical Engineering Conference (BME), Hong Kong Effects of Number of Genes chosen in Microarray Data on Predictive Accuracy of Supervised Classification.
Sept 2006 Selected platform presentation, Biomedical Engineering Conference (BME), Hong Kong Effect of Preprocessing on Microarray Data Analysis.
Sept 2006 Selected platform presentation, Biomedical Engineering Conference (BME), Hong Kong A New Clustering Algorithm for Microarray Data.
July 2006 Selected platform presentation, 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
2019-now Li-San Wang's Lab, Perelman School of Medicine, The University of Pennsylvania Undergraduate student mentoring. Student: Lauren Kleidermacher (Summer 2019, Fall 2019, Spring 2020, Summer, 2020).
July-2019 Li-San Wang's Lab, Perelman School of Medicine, The University of Pennsylvania Summer Graduate student mentoring. Students: Chia-lun Liu, Wei Fu, Pei-Chuan Ho, Kai Teh Tzeng (Summer 2019).
March 2015 Guest Lecture for GCB537/BIOL537/CIS635: Advanced Computational Biology, The University of Pennsylvania Support Vector Machine and Random Forest.
2013-2014 Li-San Wang's Lab, Perelman School of Medicine, The University of Pennsylvania Undergraduate student mentoring. Students: Andrew Hong (Fall 2013), Ainesh Ravi (Spring 2014).
March 2013 Guest Lecture for GCB537/BIOL537/CIS635: Advanced Computational Biology, The University of Pennsylvania Review on Supervised Machine Learning Algorithms.
2010-2011 Li-San Wang's Lab, Perelman School of Medicine, The University of Pennsylvania Master student mentoring. Student: Eunji Kim (Fall 2010, Spring 2011).

Contact Information

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