I'm an Assistant Professor of Mathematics and associated with the NSF-Simons Center for Multiscale Cell Fate at UC Irvine.
Previously, I was a postdoc at the Courant Institute and received my PhD from the University of Utah.
My work pursues using math to understand randomness in biological systems at the cellular and molecular scale, often through collaboration with experimental scientists.
News
October, 2021. I'm actively building a research group and have opportunities for postdocs (ad here), graduate students (in math or systems biology), and undergraduate students. Please reach out if interested.
September, 2021. I'm co-organizing UCI's Applied & Computational Math Seminar. Let me know if you'd like to share your work in it.
Understanding particle movement data in cells
Rapid advancements in imaging have led to an abundance of exciting data of stuff moving around inside cells. However, what to do with this data isn't totally clear.
My work in this realm has largely been adapting statistics & data science tools to connect mechanistic models of movement with particle data in mitosis and intracellular transport.
Collaborators: Michael Vershinin, Alexey Khodjakov.
Related work
F Renda, V Magidson, I Tikhonenko, R Fisher, CE Miles, A Mogilner, A Khodjakov
O Osunbayo, CE Miles, BJ Reddy, JP Keener, MD Vershinin
Stochastic models of the cytoskeleton & motors
Cells rely on teams of motor proteins to perform vital tasks including carrying cargo enormous distances and coordinating mitosis. These motors behave randomly as individuals yet unite harmoniously.
A central theme of my research pursues the question: how does the randomness of individual motors affect their ability to function collectively?
Collaborators: Jim Keener, Alex Mogilner, Gaudenz Danuser.
Related work
CE Miles, J Zhu, A Mogilner
ES Welf, CE Miles, et al.
CE Miles, SD Lawley, JP Keener
CE Miles, JP Keener
Information flow in ligand/receptor signaling
Cells transmit signals by releasing particles (ligands) that diffuse around in search of targets (receptors), an inherently random process.
I'm interested in understanding how spatial organization (e.g. movement, clustering) affects the cell's ability extract information from this noisy communication procedure.
Collaborators: Sean Lawley, Alan Lindsay.
Related work
SD Lawley, AE, Lindsay, CE Miles
SD Lawley, CE Miles
SD Lawley, CE Miles
Other publications
CE Miles, A Mogilner
CE Miles, JP Keener
CE Miles, I Jouny, G Gordon
Teaching
My teaching is largely shaped by Federico Ardila's axioms.
In Fall 2021, I'm teaching Math 3D, Introduction to Differential Equations.
Spring 2021 MATH-UA 234 Mathematical Statistics
Fall 2020 MATH-UA 123 Calculus 1
Spring 2020 MATH-UA 234 Mathematical Statistics
Fall 2019 MATH-UA 234 Mathematical Statistics
Spring 2019 MATH-UA 211 Math for Econ 1
Fall 2018 MATH-UA 123 Calculus III
Summer 2018 Math 3150 PDEs for Engineers
Spring 2017 Math 1180 Prob & Stats for Biologists (lab)
Fall 2016 Math 1170 Calc for Biologists (lab)
Summer 2016 Math 3140 Vector Calculus & PDEs
Spring 2016 Math 1321 Accelerated Engineering Calc II
Fall 2015 Math 2250 ODEs & Linear Algebra
Spring 2015 Math 1320 Engineering Calculus II
Fall 2014 Math 1310 Engineering Calculus I
Miscellany
As a first-generation college student, I'm passionate about scientific outreach, especially to historically excluded populations.
In past years, I was a Science Communication Fellow and participated in the NSF INCLUDES program for incarcerated youth. More recently, I was also a Proud to be First (generation) advocate at NYU.
In the rare instances of spare time from all of the above, you might find me: searching for new vegan food, rock climbing, or complaining about my extremely needy cat, Piper.
For the sake of clarity: I am not Chris Miles, the rapper. Nor am I Christopher J. Miles, the other scientist. I am also not Chris Miles, the artist. However, I have crossed paths with him and appreciate his work.