activity
20192026
most citedLarge Deviations of Cancer Recurrence Timing

1 citations · 1 across the 6 of their papers we have counts for

collaborators

6 papers

q-bio.PE2026

Branching-Time Signatures of Growth Regime in Tumor Birth-Death Models

Meng Wang, Zhangchi Weng, Jasmine Foo +1

Tumor evolution is shaped by cell division, cell death, competition, and constraints imposed by the local microenvironment. Because these dynamics are usually not observed directly…

math.PR2025

Parameter Estimation in Recurrent Tumor Evolution with Finite Carrying Capacity

Kevin Leder, Zicheng Wang, Xuanming Zhang

In this work, we investigate the population dynamics of tumor cells under therapeutic pressure. Although drug treatment initially induces a reduction in tumor burden, treatment fai…

stat.AP2024

Parameter Estimation from Single Patient, Single Time-Point Sequencing Data of Recurrent Tumors

Kevin Leder, Ruping Sun, Zicheng Wang +1

In this study, we develop consistent estimators for key parameters that govern the dynamics of tumor cell populations when subjected to pharmacological treatments. While these trea…

math.PR2021

Clonal Diversity at Cancer Recurrence

Kevin Leder, Zicheng Wang

Despite initial success, cancer therapies often fail due to the emergence of drug-resistant cells. In this study, we use a mathematical model to investigate how cancer evolves over…

math.PR2020★ 1 cited

Large Deviations of Cancer Recurrence Timing

Pranav Hanagal, Kevin Leder, Zicheng Wang

We study large deviation events in the timing of disease recurrence. In particular, we are interested in modeling cancer treatment failure due to mutation-induced drug resistance.…

math.PR2019

Splitting Algorithms for Rare Events of Semimartingale Reflecting Brownian motions

Kevin Leder, Xin Liu, Zicheng Wang

We study rare event simulations of semimartingale reflecting Brownian motions (SRBMs) in an orthant. The rare event of interest is that a -dimensional positive recurrent SRBM en…