- CompX Faculty Grant Program
- Neukom Postdoctoral Fellows
- Neukom Scholars
- Neukom Research Prizes
- Wright Center
- News & Events
Back to Top Nav
Back to Top Nav
Back to Top Nav
Back to Top Nav
The Neukom Fellows Program launched in 2012. Fellows have two-year appointments with the option for a third year and for their interdisciplinary work which has a computational theme, are co-sponsored and mentored by faculty in at least two departments or programs. Fellows teach one course in each year of their residency. The current Neukom Fellows with their Ph.D. granting institutions and departmental affiliations are given below, along with descriptions from the Fellows of their research plans.
Biology and Psychosocial & Brian Sciences; Mentors- Michael Hoppa, Matt van der Meer, and Geoffrey Luke
Aman is a biomedical engineer interested in bioelectrical phenomena of the nervous system and how electromagnetic fields can be used to modulate neural activity and treat disorders. In his doctoral work, Aman developed multi-scale computational models of the neural response to noninvasive brain stimulation methods, including a technique called transcranial magnetic stimulation, which provided mechanistic explanations for experimental observations that were previously not well understood. As a Neukom fellow, Aman will use novel genetic and optical tools to characterize the dynamic molecular and electrical properties of axons and synapses during normal brain function, as well as during stimulation with applied electromagnetic fields.
German Studies; Mentors – Petra McGillen and Jed Dobson
Laura's research combines comparative literary studies, computational text analysis, and cultural history to investigate notions of decadence and the co-development of literary and computational cultures in late nineteenth century Europe. Her doctoral research used a blend of literary close reading and computational text analysis methods in order to develop new approaches to analyzing the prevalent yet problematic concept of decadence in German and Swedish literature and culture at the fin de siècle. Her postdoctoral research builds on this work and investigates how developments in ideas about language and literature intersect with developments in new media and computational thinking at the fin de siècle in Germany and Sweden. In a world that is becoming increasingly digitally and computationally mediated, this comparative literary history of computation aims to contribute historical and interdisciplinary perspectives on the practices we use to record and interpret human experiences.
A core aim of Laura's work is to diversify how computation is conceived and deployed by building interdisciplinary connections at the intersections of modern languages and literatures and digital and computational culture. Her "Computational Comparative Literature" course at Dartmouth, for example, seeks to open up alternative pathways to computational literacy and address the uneven access to computational learning opportunities across linguistic and disciplinary domains.
Mathematics and Sociology; Mentors - Feng Fu and Kimberly Rogers
Olivia Chu's research focuses on the dynamics of behavior, in both human and animal populations, and in particular, the effects that heterogeneous population structures have on these dynamics. Her thesis work focused broadly on group-structured populations and the interplay between human behavior, group memberships, and interactions. Olivia began this work by using a combination of computational simulations and mathematical models from evolutionary game theory and opinion dynamics, but has since incorporated data collection and empirical evidence into her models in collaboration with social scientists from psychology and political science. More recently, Olivia has also begun to study the dynamics of altruism in animal populations as well as the spread of infectious diseases in structured populations.
As a Neukom Fellow, Olivia explores questions relating to: cooperation within and between groups; personality types and their role in social integration; the dynamics of power; the rule of law; puzzling altruistic behavior in animal communities; and how we can take advantage of small-scale, interpersonal interactions to avoid large-scale polarization in an increasingly divided world. By continuing to use a combination of simulations, modeling, and data collection to answer these questions, Olivia aims to gain insight into how we might be able to make our world (or at least our own social networks) more cooperative, kind, and fair.
Earth Sciences, Geography, and Thayer; Mentor – Marisa Palucis, Jonathan Chipman, Colin Meyer, and Caitlin Pries
Joanmarie is a geoscientist who uses field, remote sensing, and computational methods to study landscape response to changing climate, especially in permafrost landscapes. She leverages advances in high-latitude data collection, high-performance and cloud computing, and machine-learning algorithms to find new connections between climate drivers and landscape change. Interdisciplinary collaborations with her Dartmouth faculty mentors have led to novel insights and frameworks for how heat, sediment, and water move across frozen landscapes.
At Dartmouth, she has added coding components to EARS33/GEOG17.1 (Earth Surface Processes) and facilitated computational research experiences for undergraduate women. She co-convened a session on "Changing Permafrost Landscapes" at the 2022 American Geophysical Union Fall Meeting, and will host a workshop to explore computational approaches to studying permafrost landscapes on campus in March 2023.
Geography & Biology; Mentors- Justin Mankin, Jonathan Winters, and Matt Ayres
Corey is an environmental scientist interested in climate change and its impacts on people and nature. During his PhD, he studied how weather has affected food crops historically, drawing lessons to help adapt agriculture to a more extreme climate. He also assessed the greenhouse gas emissions likely to result from the climate transition. As a Neukom Fellow, Corey is investigating how rising atmospheric carbon dioxide may change how crops and plants in general interact with climate extremes. In his research, he integrates diverse observational data with biophysical and statistical models. Corey is also an enthusiastic environmental and climate educator.
Film and Media Studies & English; Mentors – Jacqueline Wernimont and Jed Dobson
Tess uses a mixture of humanistic and computational methods to study large quantities of popular digital "content." Currently, she is working on a book project about major genres of viral media, and the ways in which, since the early 2000s, they have encoded and influenced popular thinking about ethics and morality. Tess writes for both popular and public-facing venues, on topics across contemporary arts, culture, and computation.
Anthropology & Geisel Medical School; Mentors – Zane Thayer and Brock Christensen
Luisa studies the transgenerational transmission of trauma and adversity in communities experiencing chronic and acute stressors. Her research focuses on the ways in which historical trauma and structural violence are lived out through caregiving, examining the cultural and biological pathways that may buffer stress and augment resilience in communities of color. As a Neukom scholar, she will work with Dr. Zaneta Thayer and Dr. Brock Christensen to develop novel epigenomic menstruation-based biomarkers with associated computational and analytic techniques as a new methodology for articulating the links between reproductive health and stress.
Psychological and Brain Sciences & Computer Science; Mentors - Caroline Robertson and Andrew Campbell (Ph.D. 2019)
Adam Steel is a neuroscientist investigating how humans navigate through the world. Specifically, he seeks to understand how vision (what we see) and memory (what we know) interact dynamically to support spatial cognition. During his doctoral work, Adam identified a new network in the brain that appears to support spatial memory in humans. As a Neukom Fellow, Adam will focus on elucidating how memories of new places are formed, stored, and recalled in this network of brain regions, as well as what algorithms the brain uses to implement these processes.
To conduct this research, Adam uses a combination of immersive virtual reality, functional magnetic resonance imaging, mobile sleep and GIS tracking, and neural network models. Before joining the Neukom Institute, Adam received his PhD from the University of Oxford as a National Institutes of Health/Oxford-Cambridge Scholar in 2019.
Publications, Conferences, & Courses