Dear EMBRIOphytes,
There are two great seminars happening this Monday, November 11th:
First, don't miss our EMBRIO all-hands seminar this coming Monday, November 11 3PM ET featuring Alexander Dowling, Ph.D., Chemical and Biomolecular Engineering (primary), Applied & Computational Mathematics & Statistics (concurrent), University of Notre Dame.
Alex's talk, "Maximize the Information Content of Experiments" will present modern mathematical and computational tools to optimize experiments, leveraging these methods in systems biology contexts (Abstract below). Please check out the recommended
reading resources listed below the abstract!
The second seminar will be held 11:30AM ET on "Using Systems and Systems Thinking to Unify Biology Education"
with Jennifer Momsen, Ph.D.., North Dakota State University (abstract below), hosted by Biological Sciences, Purdue University.
See you Monday,
Brent
Weldon School of Biomedical Engineering, Purdue University
Office: Hall for Discovery Learning and Research, Ste.
203
207 S. Martin Jischke Drive
West Lafayette, IN 47907
laddb@purdue.edu
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Title: Maximize the Information Content of Experiments
Alexander Dowling, Ph.D., University of Notre Dame
EMBRIO Institute Fall Seminar Series
November 11th, 3PM ET
Abstract: In this talk, I will present modern mathematical and computational tools to optimize experiments. I will overview methods for different modeling paradigms, ranging from Bayesian optimization using purely data-driven models, optimal experiment
design using science-based mathematical models, and hybrid approaches that use data-driven components (e.g., Gaussian processes) to correct model-form uncertainty in mechanistic models. While most of the examples we will discuss focus on energy and manufacturing
applications, the computational approaches are generalized and domain agnostic. I will conclude by describing some ongoing collaborative work with Prof. Jeremy Zartman and colleagues at Notre Dame to leverage these methods in systems biology contexts.
Recommended Reading (organized by topic):
Bayesian Optimization (purely data-driven):
Optimal Experiment Design (mechanistic models):
Hybrid Models (mechanistic + data driven):
Alexander Dowling, Ph.D.
Associate Professor
Chemical and Biomolecular Engineering (primary)
Applied & Computational Mathematics & Statistics (concurrent)
University of Notre Dame
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"Using Systems and Systems Thinking to Unify Biology Education"
Jennifer Momsen, Ph.,D., North Dakota State University
Biological Sciences Seminar Series
November 11th, 11:30AM ET
In-person: Lilly Hall 1-117, Purdue University
Abstract: Thinking in terms of systems is a foundational practice throughout biology but is rarely taught as an explicit objective. Although systems feature prominently in national reports informing life sciences education, there is minimal guidance
about specific objectives for systems thinking, relevant strategies for assessing evidence of systems thinking, or instructional approaches that foster the competencies and conceptual knowledge necessary for reasoning about systems. Following a review of interdisciplinary
literature on systems and systems thinking, we developed the Biology Systems Thinking (BST) framework, which identifies and describes the requisite skills for thinking about biological systems. In this talk, I will introduce the BST framework and share how
this framework can be used to design an integrated introductory biology curriculum and what it reveals about students’ reasoning about biological phenomena.