news

May 12, 2026 We hosted middle school students from Q StudioLab for a visit focused on cancer research, data science and technology development.
Apr 29, 2026 Our Lab has been awarded a R01 grant from the National Cancer Institute to infer cancer evolution from DNA data.
Apr 25, 2026 We participated in BioBus Saturday Science event to teach children in Harlem about genomic sciences.
Apr 15, 2026 Khanh discussed ongoing work in our Lab and advices for young scientists in a Faces of IICD video feature.
Apr 09, 2026 Materials from our IICD workshop on parameter inference are freely available!
Mar 28, 2026 We participated in BioBus Saturday Science event to teach children in Harlem about genomic sciences.
Jan 15, 2026 We introduce BESTish, an exact Bayesian method to infer mutation rates and selection coefficients from variant allele frequencies.
Jan 15, 2026 Yanjie Chen, a recently graduated Master Student Intern, has started his appointment as Research Staff Associate to continue his work in the Lab.
Dec 12, 2025 Ethan Cohen, our 2025 Alliance intern, was awarded the Mathematical Modeling and Biodiversity Chair Award from École Polytechnique for his work in the Lab.
Nov 26, 2025 Two of our works in 2025, which introduced algorithms CINner for simulating chromosomal instability and ABC-SMC-DRF for parameter inference, are included in IICD’s annual research highlights.
Nov 05, 2025 Our new paper introduces ABC-SMC-(D)RF, a novel noise-insensitive and efficient parameter inference algorithm.
Nov 04, 2025 Our work on analyzing genomic, proteomic and metabolomic progression of bladder cancer at the whole-organ scale is highlighted on Nature Reviews Urology.
Jul 31, 2025 We are showcased in a video featuring IICD at the Joint Statistical Meetings 2025.
Jul 28, 2025 Sara El Baghdadi and Ethan Cohen, our 2025 Alliance interns, offer insights into their time in our Lab.
Apr 04, 2025 CINner, our computational framework for chromosomal instability, is published.
Feb 17, 2025 Read the profile of Zijin Xiang, a former intern in our lab.
Jul 31, 2024 Our new paper explores the theoretical framework for inferring chromosomal instability from single-cell DNA data.
Oct 18, 2023 Find out more about Khanh’s career path and why he transitioned from mathematics to computational oncology.