Oct 10, 2026
Kennesaw, GA 		American Mathematical Society (AMS) fall southeasten sectional meeting
Accurate inference of tumor expansion rate and clonality from genomic data based on population genetics; Khanh N. Dinh
Aug 05, 2026
Boston, MA 		Joint statistical meetings (JSM)
Extracting chromosomal selection parameters and predicting clonal dynamics from single-cell DNA data; Khanh N. Dinh
Reliable inference of tumor expansion rate and clonality from DNA-sequencing data; Yanjie Chen
Aug 23, 2026
Riga, Latvia 		The 21st conference on computer science and intelligence systems (FedCSIS)
Automatic perturbation kernels for biological applications of Approximate Bayesian Computation sequential Monte Carlo with random forests; Khanh N. Dinh
July 03, 2026
Ho Chi Minh City, Vietnam 		University of Sciences seminar
Accurate inference of tumor expansion rate and clonality from genomic data based on population genetics; Khanh N. Dinh
July 01, 2026
Ho Chi Minh City, Vietnam 		University of Sciences mini-course
Parameter inference approaches for data-driven mathematical modeling; Khanh N. Dinh
Apr 09, 2026
New York, NY 		IICD workshop series: from theory to practice
Parameter inference approaches for data-driven mathematical modeling; Yanjie Chen & Khanh N. Dinh
Mar 22, 2026
Ventura, CA 		Gordon Research Conference: Single-cell cancer biology
Inference of clonality and tumor expansion rate from single-sample DNA-sequencing data; Khanh N. Dinh
Sep 14, 2024
San Antonio, TX 		American Mathematical Society (AMS) fall central sectional meeting
Inference for parameters of selection and copy number aberrations from DNA-sequencing data; Khanh N. Dinh
Jul 22, 2024
Montreal, Canada 		The 25th international symposium on mathematical programming
Inference for parameters of selection and copy number aberrations from DNA-sequencing data; Khanh N. Dinh
Jul 08, 2024
New York, NY 		IICD intensive workshop: methods in single-cell data integration and optimal transport
Modeling, simulation and inference for chromosomal instability in single cells; Khanh N. Dinh
Jun 09, 2024
Manchester, NH 		Gordon Research Conference: Single-cell cancer biology
Modeling, simulation and inference for chromosomal instability in single cells; Khanh N. Dinh
Jan 03, 2024
San Francisco, CA 		Joint mathematics meetings (JMM)
Modeling cancer evolution as driven by chromosomal instability; Khanh N. Dinh
Jul 20, 2023
Columbus, OH 		Society for Mathematical Biology (SMB) annual meeting
Modeling and simulation of cancer evolution in bulk and single-cell DNA-sequencing data; Khanh N. Dinh
Mar 15, 2023
New York, NY 		IICD mathematical and computational methods in cancer and biology symposium
Modeling and simulation of cancer evolution in single cells; Khanh N. Dinh
Nov 19, 2022
Gliwice, Poland 		Gliwice scientific meetings
Modeling and simulation of cancer evolution in single cells; Khanh N. Dinh
Nov 03, 2022
Barcelona, Spain 		Cancer Grand Challenges (CGC) future leaders
Modeling and simulation of cancer evolution in single cells; Khanh N. Dinh
Sep 22, 2022
Heidelberg, Germany 		The European conference on mathematical and theoretical biology (ECMTB)
Modeling and simulation of cancer evolution in single cells; Khanh N. Dinh
Jun 13, 2022
Easton, MA 		Gordon Research Conference: Dissecting evolution and heterogeneity of single cancer cells
Modeling and simulation of cancer evolution in single cells; Khanh N. Dinh
May 26, 2022
Perugia, Italy 		The 9th international conference on risk analysis (ICRA9)
Modeling and simulation of cancer evolution in single cells; Khanh N. Dinh
Oct 01, 2021
New York, NY 		Memorial Sloan Kettering Cancer Center emerging leaders in computational oncology
Computational models for cancer evolution using DLP data; Khanh N. Dinh
Mar 06, 2020
New York, NY 		Probability and society symposium
Statistical inference for the evolutionary history of cancer genomes; Khanh N. Dinh
Dec 04, 2019
Orlando, FL 		ASH annual meeting & exposition
Predicting Minimal Residual Disease in Acute Myeloid Leukemia through stochastic modeling of clonality; Khanh N. Dinh
Jul 18, 2019
Houston, TX 		The 13th q-bio summer school
Defining Minimal Residual Disease in Acute Myeloid Leukemia through stochastic modeling of clonality; Khanh N. Dinh
Numerical computation of the Site Frequency Spectra; Khanh N. Dinh
Oct 01, 2018
Irvine, CA 		Multiscale cell fate symposium
Extracting tumor growth and mutation histories from sequencing data; Khanh N. Dinh
Sep 05, 2018
Loughborough, Britain 		Dynamics days Europe
Defining Minimal Residual Disease in Acute Myeloid Leukemia through stochastic modeling of clonality; Khanh N. Dinh
Jun 13, 2018
Houston, TX 		The 12th q-bio summer school
An adaptive Magnus expansion method for solving the Chemical Master Equation with time-dependent propensities; Khanh N. Dinh
Defining Minimal Residual Disease in Acute Myeloid Leukemia through stochastic modeling of clonality; Khanh N. Dinh
Jan 10, 2018
San Diego, CA 		Joint mathematics meetings (JMM)
A comparison of the adaptive Magnus expansion method and other ODE solvers for the Chemical Master Equation; Khanh N. Dinh
Jun 25, 2017
Kruger, South Africa 		BIOMATH conference on mathematical methods and models in biosciences
Case studies of solving the Chemical Master Equation with time-varying parameters using Magnus expansion; Khanh N. Dinh
July 11, 2016
Boston, MA 		SIAM conference on the life sciences (SIAM-LS)
The Finite State Projection and related methods for solving the Chemical Master Equation; Khanh N. Dinh
Mar 12, 2016
Athens, GA 		SIAM southeastern Atlantic section conference (SIAM-SEAS)
Solving the Chemical Master Equation with time-varying parameters; Khanh N. Dinh
Dec 11, 2015
Provo, UT 		BIOT conference - biotechnology and bioinformatics symposium
A case study of solving the Chemical Master Equation with time-varying parameters; Khanh N. Dinh
Aug 05, 2015
Blacksburg, VA 		The 9th q-bio conference
Inexact and improved variants of the finite state projection method; Khanh N. Dinh
Oct 10, 2014
Claremont, CA 		International symposium on biomathematics and ecology: education and research (BEER)
Inexact and improved variants of the finite state projection method; Khanh N. Dinh