Upcoming Seminars / Seminars This Week

Wed 05/05/21 10 amVirtual/Online
Computational Neuroscience Journal Club
Marina Wosniack (Gjorgjieva Lab, MPIBR)
Adaptation of spontaneous activity in the developing visual cortex For password please email Paul Miller (
Hosted by Steve Van Hooser

Wed 05/05/21 12 noonOnline
Molecular Genetics Journal Club
Ines Patop (Kadener Lab)
Targeting Mitochondria-Located circRNA SCAR Alleviates NASH via Reducing mROS Output
Suhaily Penix (Bradshaw Lab)
Chromosome Translocation Inflates Bacillus Forespores and Impacts Cellular Morphology
Ref: For password please email:
Hosted by Alex Bisson

Wed 05/05/21 12 noonVirtual/Online
Mathematical Biology Seminar
Helen Byrne (University of Oxford)
Multiscale approaches for analysing vascular networks
Although discrete approaches are increasingly being used to describe biological phenomena such as tumour angiogenesis, it remains unclear how population-level behaviours emerge from the rules used to define the discrete models. Discrete-to-continuum approaches can be used to derive coarse-grained equations that describe the mean-field dynamics of a microscopic model and, as such, can provide insight into emergent behaviours. The resulting continuum models are often analytically intractable due to the appearance of nonlinearities. By contrast, phenomenological continuum models, such as the classical snail-trail model of angiogenesis, are typically easier to analyse but their relationship to microscopic descriptions is unclear. In this talk, I will introduce approaches for coarse-graining discrete models of angiogenesis and compare the resulting continuum models with the classical snail-trail model. I will use asymptotic techniques to identify parameter regimes in which the continuum models are equivalent, at leading order. If time permits, I will also explain how we are using techniques from topological data analysis to generate new insight into the structure of synthetic and biological vascular networks.
Hosted by Profs. Jonathan Touboul and Thomas Fai and Dr. Ying Zhang

Thu 05/06/21 9 amVirtual/Online
Thesis Seminar: Molecular and Cell Biology PhD Program
Rebecca Fleming (Lee Lab)
Investigating the targets and mechanism of specialized translation regulation please email for password
Sponsored by: Molecular and Cell Biology PhD Program

Thu 05/06/21 1 pmVirtual/Online
Special Seminar (Physics, Biological Physics Senior Honors Presentations)
Sam Smith (Brandeis University)
Analysis of Attractor Basins in Finite Size Networks of Randomly Connected Firing-Rate Units
Miranda Gavitt (Brandeis University)
Reovirus Outercoat Degradation: A Model for Cathepsin Activity in Endosomes
Mark J. Murdy (Brandeis University)
Investigation of Leak Detection in the Outer Detector of the LUX Zeplin Dark Matter Experiment

Fri 05/07/21 12:30 pmOnline
Molecular and Cell Biology & Neuroscience Student Seminars
Rabia Anjum (Paradis Lab) For password please email:

Mon 05/10/21 12 noonOnline
Neurobiology Journal Club

Mon 05/10/21 12:15 pmVirtual
New England Dynamics and Number Theory Seminar
Seungki Kim (University of Cincinnati)
Counting problems on a random lattice
A random lattice is a random element of SL(n,Z) \ SL(n,R) equipped with the probability measure inherited from the Haar measure of SL(n,R). Analogous to the usual lattice point-counting, one tries to "count" -- more precisely, study the statistics of -- the random lattice points inside a ball or other shapes. I'll give a gentle introduction to this topic, discussing the early works of Siegel, Rogers and Schmidt and some of the recent results, as well as their applications.
The zoom link is on the seminar web page. Please send an email to one of the organizers if you want to be included in the mailing list.
Hosted by Dmitry Kleinbock and Keith Merrill
Sponsored by: Mathematics Department

Wed 05/12/21 1 pmVirtual/Online
Senior Honors Thesis Defense
Bradley Kaplan (Department of Mathematics)
Mathematical and Computational Analysis of Stochastic Car and Drone Sharing Network Models
Ryan Xie (Department of Mathematics)
Mathematically Modeling the Neuron Network Involved in Sleep Regulation
Adenosine is a nucleoside with a hypothesized role in sleep because its concentration in the brain oscillates in sync with the human circadian rhythm. A majority of the research looks at adenosine's effects on individual receptors. However, there is much less research about the network of neurons associated with these receptors, and how it works with adenosine to regulate sleep. Using the Wilson Cowan Model and actual biological data, a mathematical model was developed to give more insight into this network's behavior. Of particular significance was the existence of a system of three neuron populations, consisting of sleep-promoting neurons, inhibitory interneurons, and excitatory interneurons, that has these saturation thresholds. Reaching this threshold in adenosine causes the firing behavior of the inhibitory interneurons and the sleep-promoting neurons to change from one of their steady states to the other. Additionally, using this three-population network, a fourth population of wake-promoting neurons, or the locus coeruleus, was incorporated into this system to demonstrate the effects of the homeostatic process of sleep, one analogous to a sleep pressure. Furthermore, through the addition of a periodic adenosine signal as input, the model was able to demonstrate the effects of the circadian process of sleep, one that governs the changes between periods of high and low sleep propensity
Hosted by Profs. Jonathan Touboul and Thomas Fai

Mon 05/17/21 11 amVirtual/Online
Thesis Seminar: Mathematics PhD Program
Tarakaram Gollamudi (Advisor Joel Bellaiche)
L-ideal at irregular CM points of weight 1
Sponsored by: Mathematics PhD Program

Mon 05/17/21 4 pmVirtual/Online
Chemistry Department Colloquium
Yaoqiu Zhu (University of Texas at El Paso)
Integrative Organic Synthesis, Medicinal Chemistry and Chemical Biology Studies for Reviving Natural Product Drug Discovery and Solving Clinical Pharmacotherapy Conundrums Please email from your Brandeis account for password
Hosted by Hao Xu

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