Speaker:

Marianne Green, MD, Vice Dean for Education, Chair, Department of Medical Education, Feinberg School of Medicine, Northwestern University

Title:

Precision Education in Medicine

Abstract:

This presentation explores the transformative potential of precision education in medicine- an innovative approach that leverages comprehensive student and trainee data to tailor educational experiences and ultimately improve patient care. By integrating diverse data sources, including academic history, assessments, and electronic health record information, precision education provides a holistic view of student and trainee performance. The presentation highlights how personalized learning pathways and predictive analytics may enhance student and trainee outcomes, enabling early interventions and continuous feedback for improvement. Discussion of early adopter use cases in medical education highlight the potential and the challenges. Data privacy, ethical considerations, and technical hurdles will be addressed. Looking ahead, emerging technologies like AI promise to revolutionize precision education, paving the way for a fully integrated, data-driven ecosystem that can empower every student and ultimately every physician to reach their full potential with better health outcomes as the primary goal.

Speaker Bio:

Marianne Green, MD is the Raymond H. Curry, MD, Professor of Medical Education at the Northwestern Feinberg School of Medicine. She is also the Vice Dean for Education, the chair of the Department of Medical Education, and Co-Director of the Institute for Artificial Intelligence in Medicine - Center for Medical Education in Data Science and Digital Health. Clinically she is interested in the primary care of adults with acute and chronic illness. Academically she is interested in competency assessment for both undergraduate medical students and practicing physicians.

Location:

In person: Chambers Hall, 600 Foster Street, Lower Level
Remote option: https://northwestern.zoom.us/j/94544365225
Passcode: NICO25

About the Speaker Series:

Wednesdays@NICO is a vibrant weekly seminar series focusing broadly on the topics of complex systems, data science and network science. It brings together attendees ranging from graduate students to senior faculty who span all of the schools across Northwestern, from applied math to sociology to biology and every discipline in-between. Please visit: https://bit.ly/WedatNICO for information on future speakers.

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Speaker:

Diego Gomez-Zara, Assistant Professor, Department of Computer Science and Engineering, University of Notre Dame

Title:

TBA

Abstract:

TBA

Speaker Bio:

Diego Gomez-Zara is an assistant professor at the Department of Computer Science and Engineering and the Mendoza College Business (courtesy) at the University of Notre Dame. He received his Ph.D. in Technology & Social Behavior from Northwestern University, where he worked at the Science of Networks in Communities (SONIC) Research Group. He was a postdoctoral fellow at the Center for Science of Science and Innovation (CSSI). His research is in the fields of Network Science, Human-Computer Interaction (HCI), Computer-Supported Cooperative Work (CSCW), and Computational Social Science.

Location:

In person: Chambers Hall, 600 Foster Street, Lower Level
Remote option: https://northwestern.zoom.us/j/97652419302
Passcode: NICO25

About the Speaker Series:

Wednesdays@NICO is a vibrant weekly seminar series focusing broadly on the topics of complex systems, data science and network science. It brings together attendees ranging from graduate students to senior faculty who span all of the schools across Northwestern, from applied math to sociology to biology and every discipline in-between. Please visit: https://bit.ly/WedatNICO for information on future speakers.

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Speaker:

Aparna Baskaran, Professor of Physics, Brandeis University

Title:

Measuring Active Stress: Vignettes of Data Driven Approaches Applied to the MT-Kinesin Active Fluid

Abstract:

In this talk, we will begin with big picture discussion of that "Active matter" looks like from a materials physicist's perspective at the present time. Then, we will review the specifics of an experimental active matter system of in vitro suspension of purified cytoskeletal proteins. The meat of the talk will discuss some recent work to employ data driven techniques to extract material parameters and understand the complex emergent phenomenology of this fluid system.

Speaker Bio:

Aparna Baskaran received her undergraduate degree from Pondicherry University in 2001 and her Ph.D. from the University of Florida in 2006. She is a professor in the Martin A. Fisher School of Physics at Brandeis University, where she has been on the faculty since 2010. Her research centers on understanding theoretical principles that underlie nonequilibrium phenomena in soft materials and physical biology. Aparna's research involves close collaboration with experimentalists and computer simulators to understand and model particular systems, from which she extracts theoretical ideas that transcend the context of their origin and apply to broad classes of nonequilibrium systems. She is a beloved teacher and passionate exponent of her science.

Location:

In person: Chambers Hall, 600 Foster Street, Lower Level
Remote option: https://northwestern.zoom.us/j/92035300595
Passcode: NICO25

About the Speaker Series:

Wednesdays@NICO is a vibrant weekly seminar series focusing broadly on the topics of complex systems, data science and network science. It brings together attendees ranging from graduate students to senior faculty who span all of the schools across Northwestern, from applied math to sociology to biology and every discipline in-between. Please visit: https://bit.ly/WedatNICO for information on future speakers.

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Speaker:

Morgan Frank, Assistant Professor, Department of Informatics and Networked Systems, University of Pittsburgh

Title:

AI, Complexity, and the Future of Work

Abstract:

Artificial Intelligence has evolved and now challenges our understanding of skills, careers, and the future of work. Using a variety of data on employment, occupations’ skill requirements, millions of resumes, and unemployment data from US states’ unemployment insurance offices, this talk will explore how workers’ skills shape their careers and how automation estimates fit into a framework for career adaptability and the economic resilience of labor markets. Work from this talk comes from a variety of publications in PNAS, Nature Communications, and Science Advances.

Speaker Bio:

Morgan Frank is an Assistant Professor at the School of Computing and Information at the University of Pittsburgh. Morgan is interested in the complexity of AI, the future of work, and the socio-economic consequences of technological change. While many studies focus on phenotypic labor trends, Morgan’s recent research examines how genotypic skill-level processes around AI impact individuals and society. Combining labor research with investigations into the nature of AI research and the social or societal implications of AI adoption, Morgan hopes to inform our understanding of AI’s impact. Morgan has a PhD from MIT’s Media Lab, was a postdoc at MIT IDSS and the IDE, and has a master’s degree in applied mathematics from the University of Vermont where he was a member of the Computational Story Lab.

Location:

In person: Chambers Hall, 600 Foster Street, Lower Level
Remote option: https://northwestern.zoom.us/j/91407653122
Passcode: NICO25

About the Speaker Series:

Wednesdays@NICO is a vibrant weekly seminar series focusing broadly on the topics of complex systems, data science and network science. It brings together attendees ranging from graduate students to senior faculty who span all of the schools across Northwestern, from applied math to sociology to biology and every discipline in-between. Please visit: https://bit.ly/WedatNICO for information on future speakers.

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Speaker:

Neda Bagheri, Associate Professor, Department of Biology, University of Washington

Title:

Computational modeling of emergent spatiotemporal cell population dynamics

Abstract:

Computational models are essential tools that can be used to simultaneously explain and guide biological intuition. My lab employs agent-based modeling, machine learning, and dynamical systems to explain biological observations and interrogate multi-lateral regulatory networks that drive individual cellular decisions as well as cell population dynamics. We are interested in the inherent multiscale nature of biology, with a specific focus on system-level dynamics that emerge from interactions of simpler individual-level modules.

In this presentation, I introduce a multiscale agent-based model of a generic solid tumor microenvironment that integrates subcellular signaling and metabolism, cell-level decision processes, and dynamic vascular architecture and function. We use this modeling framework to understand decision processes among heterogeneous cell agents in changing microenvironments. The model is open-source and flexible/adaptable (it can characterize countless cell population dynamics!), but it is computationally costly to simulate and analyze at large scales. I highlight these challenges along with strategies to mitigate them, and showcase successes that derive from our model development process. I also describe how the model can be used to inform the design of experiments, interventions, and hypotheses that modulate population level responses.

Speaker Bio:

Neda Bagheri earned her doctorate in Electrical Engineering from the University of California in Santa Barbara. Her focus on control theory and dynamics piqued her interest in biology. After completing a postdoc in Biological Engineering at MIT, she joined the Chemical & Biological Engineering faculty at Northwestern University (2012). In 2019, she was recruited to both the University of Washington Seattle (where she holds a joint position in Biology and Chemical Engineering) and the Allen Institute for Cell Science.

In recognition for her research accomplishments and vision, Bagheri was awarded a National Science Foundation CAREER Award (2017) and a Senior Moulton Medal (2020). She was honored as a Distinguished Speaker for the Accelerated Discover Forum at IBM Research-Almaden (2018) as well as for the Mindlin Foundation (2019), and as the Plenary Speaker for the triennial International Federation of Automatic Control DYCOPS conference (2022). She serves on multiple science advisory and editorial boards, guiding the frontier of multidisciplinary research.

Location:

In person: Chambers Hall, 600 Foster Street, Lower Level
Remote option: https://northwestern.zoom.us/j/97273424116
Passcode: NICO25

About the Speaker Series:

Wednesdays@NICO is a vibrant weekly seminar series focusing broadly on the topics of complex systems, data science and network science. It brings together attendees ranging from graduate students to senior faculty who span all of the schools across Northwestern, from applied math to sociology to biology and every discipline in-between. Please visit: https://bit.ly/WedatNICO for information on future speakers.

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Speaker:

Michael Dickey, Camille & Henry Professor, Department of Chemical and Biomolecular Engineering, NC State University

Title:

Shaping a Soft Future

Abstract:

Existing devices—such as cell phones, computers, and robots – are made from rigid materials, which is in direct contrast to the soft materials that compose the human body. In this talk, I will discuss several topics related to studying and harnessing soft materials within the context of creating devices (actuators, sensors, electronics) with tissue like properties.

· Liquid metal: Gallium-based liquid metals are often overlooked despite their remarkable properties: melting points below room temperature, water-like viscosity, low-toxicity, and effectively zero vapor pressure (they do not evaporate). Normally small volumes of liquids with large tension form spherical or hemi-spherical structures to minimize surface energy. Yet, these liquid metals can be patterned into non-spherical shapes (cones, wires, antennas) due to a thin, oxide skin that forms rapidly on its surface. Recently, we have discovered a simple way to separate the oxide from the metal as a way to deposit 2D-like oxides at ambient conditions.

· Shape reconfiguration: Perhaps the most fascinating aspect of liquid metals it the ability to use interfacial electrochemistry chemistry to remove / deposit the oxide to manipulate the surface tension of the metal over unprecedented ranges (from the largest tension of any known liquid to near zero!). This allows manipulating the shape and position of the metal for shape reconfigurable devices.

· Ionogels: Soft materials that are tough (that is, they do not readily tear or fail mechanically) are important for a number of applications, including encapsulation of devices. Recently, we discovered a simple way to create ulta-tough ionogels, which are polymer networks swollen with ionic liquids. These materials are tougher than cartilage and compatible with 3D printing.

This work has implications for soft and stretchable electronics; that is, devices with desirable mechanical properties for human-machine interfacing, soft robotics, and wearable electronics.

Speaker Bio:

Michael Dickey received a BS in Chemical Engineering from Georgia Institute of Technology (1999) and a PhD from the University of Texas (2006) under the guidance of Professor Grant Willson. From 2006-2008 he was a post-doctoral fellow in the lab of Professor George Whitesides at Harvard University. He is currently the Camille and Henry Dreyfus Professor in the Department of Chemical & Biomolecular Engineering at NC State University. He completed a sabbatical at Microsoft in 2016 and EPFL in 2023. Michael’s research interests include soft matter (liquid metals, gels, polymers) for soft and stretchable devices (electronics, energy harvesters, textiles, and soft robotics).

Location:

In person: Chambers Hall, 600 Foster Street, Lower Level
Remote option: https://northwestern.zoom.us/j/96920996561
Passcode: NICO25

About the Speaker Series:

Wednesdays@NICO is a vibrant weekly seminar series focusing broadly on the topics of complex systems, data science and network science. It brings together attendees ranging from graduate students to senior faculty who span all of the schools across Northwestern, from applied math to sociology to biology and every discipline in-between. Please visit: https://bit.ly/WedatNICO for information on future speakers.

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Winter Classes End

Spring Classes Begin - Northwestern Monday: Classes scheduled to meet on Mondays meet on this day.