Populations can evolve in order to adapt to external changes. The capacity to evolve and adapt makes successful treatment of infectious diseases and cancer difficult. Indeed, therapy resistance has quickly become a key challenge for global health. Therefore, ideas of how to control evolving populations in order to overcome this threat are valuable. Here we use the mathematical concepts of stochastic optimal control to study what is needed to control evolving populations. Following established routes to calculate control strategies, we first study how a polymorphism can be maintained in a finite population by adaptively tuning selection. We then introduce a minimal model of drug resistance in a stochastically evolving cancer cell population and compute adaptive therapies, where decisions are based on monitoring the response of the tumor, which can outperform established therapy paradigms. For both case studies, we demonstrate the importance of high-resolution monitoring of the target population in order to achieve a given control objective: to control one must monitor.
Fitness Inference in Presence of Migrations between Coupled Evolving Populations
School of Science, Nanjing University of Posts and Telecommunications（南京邮电大学理学院）；Department of Physics, Université Paris-Saclay（巴黎萨克雷大学物理系）；National Laboratory of Solid State Microstructures, Nanjing University（南京大学固体微结构物理国家重点实验室）；Department of Computational & Systems Biology, University of Pittsburgh School of Medicine（匹兹堡大学生物计算与系统生物学系）
Inference with selection, varying population size and evolving population structure: Application of ABC to a forward-backward coalescent process with interactions
A Raspberry Pi-based, RFID-equipped birdfeeder for the remote monitoring of wild bird populations
射频识别（RFID）是一种日益流行的无线技术，使研究人员能够从野外的固定位置监测野生鸟类的数量。我们的实验室开发了一种基于Raspberry Pi Zero W的配备RFID的喂鸟器，Raspberry Pi Zero W是一种低成本的单板计算机，它可以从带有被动集成转发器（PIT）标签的鸟类中收集连续的访问数据。每个喂鸟器都有一个栖息天线连接到Raspberry Pi上的RFID读取器板，由便携式电池供电。当一只被标记的鸟降落在栖木上从喂食器中进食时，它的唯一代码将与日期和时间一起存储在Raspberry Pi上。这些喂鸟器只需要基本的焊接和编码技能来组装，并且可以很容易地配备额外的硬件，如摄像机和麦克风。我们概述了组装硬件和设置喂鸟器操作系统的过程。然后，我们描述了一个示例实现的喂鸟跟踪家雀（Haemorhous mexicanus）在纽约市皇后学院的校园。
The process of most recent common ancestors in an evolving coalescent
考虑一个通过可交换的繁殖动力学进化的单倍体种群，其中所有在时间$t$存活的个体都有一个最近的共同祖先（MRCA），他们生活在时间$A_t$。随着时间的推移，不仅人口会发生变化，而且其谱系也会发生变化：一些家庭将从人口中消失，最终将建立新的MRCA。对于一个时间平稳的情况下，并在无穷总体规模$N$与时间测量的$N$代，即在缩放的人口遗传学，导致费舍尔-赖特扩散和金曼的合并，我们研究的过程$\mathcal A = (A_t)$的跳跃形成的点过程的时间对$(E,B)$时，新的MRCA建立，当他们住。通过将这些粒子对表示为粒子的进入和离开时间，这些粒子的轨迹嵌入Donnelly和Kurtz（1999）的俯视图中，我们可以通过交换论证来证明泊松过程的时间$E$和时间$B$。此外，粒子表示有助于计算MRCA过程的各种特征，例如建立新MRCA时聚结的分布，以及今天过去的MRCA数量的分布。
Evolving genealogies in cultural evolution, the descendant process, and the number of cultural traits
School of Interdisciplinary Mathematical Sciences（交叉数理科学学院）；Research Center for Integrative Evolutionary Science, SOKENDAI (The Graduate University for Advanced Studies)（前沿科学研究中心，SOKENDAI（advanced studies大学））；Kochi University of Technology（高知工科大学）；Faculty of Technology, Bielefeld University（比勒费尔德大学技术学院）
