Wenyuan Liao, University of Calgary

Research

Adjoint analysis Computational mathematics Inverse modelling Inverse problem Numerical analysis Numerical optimization Numerical simulation Numerical solution to partial differential equations

Latest papers

XA4C: eXplainable representation learning via Autoencoders revealing Critical genes.
PLoS computational biology · 2023
OCMA: Fast, Memory-Efficient Factorization of Prohibitively Large Relationship Matrices.
G3 (Bethesda, Md.) · 2019
Model checking optimal finite-horizon control for probabilistic gene regulatory networks.
BMC systems biology · 2017 · senior author

All 3 publications

Latest funding

Pacific Institute for the Mathematical Sciences
NSERC · 2022 · Co-investigator
$3,461,244
A GPU Server for Integration of Machine Learning in Mathematics and Statistics Research and Training
NSERC · 2021 · Co-investigator
$149,886
Mathematical theory and computational methods for seismic full waveform inversion problems
NSERC · 2019 · Principal investigator
$102,000

All 9 grants and awards

3 publications.

01

XA4C: eXplainable representation learning via Autoencoders revealing Critical genes.

Li Q, Yu Y, Kossinna P, Lun T, Liao W, Zhang Q

PLoS computational biology2023

DOI: 10.1371/journal.pcbi.1011476 PMID: 37782668

02

OCMA: Fast, Memory-Efficient Factorization of Prohibitively Large Relationship Matrices.

Xiong Z, Zhang Q, Platt A, Liao W, Shi X, de Los Campos G, Long Q

G3 (Bethesda, Md.)2019

DOI: 10.1534/g3.118.200908 PMID: 30482799

03

Model checking optimal finite-horizon control for probabilistic gene regulatory networks.

Wei O, Guo Z, Niu Y, Liao W

BMC systems biology2017Senior author

DOI: 10.1186/s12918-017-0481-6 PMID: 29297345

Pacific Institute for the Mathematical Sciences

Co-investigatorNSERC2022Discovery Institutes Support Grants

Principal investigators: Yilmaz, Ozgur OY

Keywords: applied mathematics; collaborative research groups; highly qualified personnel; international collaboration; probability; pure mathematics; research network; statistics

$3,461,244

A GPU Server for Integration of Machine Learning in Mathematics and Statistics Research and Training

Co-investigatorNSERC2021Research Tools and Instruments

Principal investigators: Zhang, Qingrun

$149,886

Mathematical theory and computational methods for seismic full waveform inversion problems

Principal investigatorNSERC2019Discovery Grants Program - Individual

Principal investigators: Liao, Wenyuan

Keywords: Adjoint analysis; Computational mathematics; Inverse modelling; Inverse problem; Numerical analysis; Numerical optimization; Numerical simulation; Numerical solution to partial differential equations; Seismic modeling; Seismic wave propagation

$102,000

An integrated workflow for oil-bearing prediction using seismic information and well log data_x000d_ _x000d_ _x000d_ _x000d_ _x000d_ _x000d_ _x000d_

Principal investigatorNSERC2018Collaborative Research and Development Grants

Principal investigators: Liao, Wenyuan

$96,000

Adjoint state method and numerical algorithms for full waveform inversion of seismic data

Principal investigatorNSERC2014Discovery Grants Program - Individual

Principal investigators: Liao, Wenyuan

$55,000

Development of a new fast Fourier transform algorithms for seismic data regularization

Principal investigatorNSERC2014Engage Plus Grants Program

Principal investigators: Liao, Wenyuan

$12,500

Development of new fast Fourier transform algorithms for seismic data regularization

Principal investigatorNSERC2013Engage Grants Program

Principal investigators: Liao, Wenyuan

$25,000

Computing resources for mathematics and statistics research and training

Co-investigatorNSERC2010Research Tools and Instruments - Category 1 (<$150,000)

Principal investigators: Chen, Gemai

$46,190

Inverse modelling & numerical algorithm for multiphase flows in porous media and applications in petroleum reservoir simulation

Principal investigatorNSERC2008Discovery Grants Program - Individual

Principal investigators: Liao, Wenyuan

$86,500

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

Frequent collaborators

Mathematics and Statistics
Department of Mathematics and Statistics
Department of Biochemistry and Molecular Biology

Co-authors at University of Calgary, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.

Qingrun Zhang

Department of Mathematics and Statistics

2 shared papers, latest 2023

Quan Long

Department of Biochemistry and Molecular Biology

1 shared papers, latest 2019

Write to this professor

A short, specific email works best. This draft uses one of their recent papers; replace the parts in brackets with your own details before sending.

Applying for

Paper to mentionMention their NSERC grant from 2019

Subject: Prospective PhD student: Adjoint analysis Dear Professor Liao, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. I read your paper "XA4C: eXplainable representation learning via Autoencoders revealing Critical genes." (2023), and it connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your NSERC-funded project "Mathematical theory and computational methods for seismic full waveform inversion problems" (2019), and I would be glad to contribute to work in that direction. Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]