Assistant Professor, August 2015 – Present
School of Industrial Engineering & Weldon School of Biomedical Engineering
West Lafayette, IN, USA
Associate Research Scientist, August 2014 – August 2015, Indiana University Network Science Institute (IUNI), Indianapolis, Indiana
Assistant Research Scientist, July 2014 – July 2014, Indiana University, Bloomington, Indiana
Research Associate, June 2011 – June 2014, Indiana University, Bloomington, Indiana
Postdoctoral Researcher, December 2008 – June 2011, Center for Applied Medical Research, Pamplona, Spain
PhD, 2008, University of Navarra, Spain
Visiting Fellow, January 2007 – June 2007, Harvard University, Boston, MA
Visiting Fellow, April 2006 – August 2006, Boston, MA
MS, Computer Science, 2005, University of the Basque Country, Spain
BS, Computer Engineering, 2003, University of the Basque Country, Spain
I'm a physicist who graduated from the University Federico II of Naples, Italy. After earning my Master's in 2012, I decided to follow my passion for the scientific study of consciousness. I enrolled in a joint PhD program between the Coma Science Group, University of Liège, and the Marinazzo Lab at the University of Ghent, Belgium. During my four years there as a PhD student I mainly focused on implementing new methods for brain connectivity assessment across levels of consciousness. Indeed, brain connectivity in particular and network science in general are currently my two favorite domains of research. That's why I am super excited to join the CONNplexity Lab as a Postdoctoral Researcher. I am willing to learn as much as I can from Prof. Joaquín Goñi about network science and functional and structural brain connectomics, and I hope to become an expert in the field some day.
I earned my Bachelor’s in Electrical Engineering from the University of Engineering and Technology, Lahore, Pakistan. I earned my PhD in Electrical and Computer Engineering from Purdue University, where as part of the Purdue Neurotrauma Group I explored the short- and long-term effects of subconcussive brain injury in high school football athletes. Toward the end of my PhD program, I discovered the utility and elegance of tools developed by network science in studying brain networks, and I changed my focus from brain injury to general network science. Currently I am interested in brain networks based on structural and functional MRI connectivity, characterization and stability of metrics based on these networks, and applications of network science tools to study changes in these networks due to injury or disease. I am also interested in the use of multilayer networks to model multimodal brain imaging data and to develop more comprehensive and robust network science tools for exploratory and diagnostic purposes. To that end, I’m very excited to join the CONNplexity Lab and I hope to learn and contribute as much as humanly possible (and also have fun while doing it).
PhD Student & Graduate Teaching Assistant
I completed my Bachelor's in Mechanical Engineering from Pune University, India, in 2013, after which I worked as an assistant with an employability and soft skills training consultancy for six months. I started my Master's in Industrial Engineering and Management at Oklahoma State University in 2014, where I worked as a teaching and research assistant for two years. As a research assistant, I worked on my thesis, "Analysis of Demographic and Clinical Data of Patients to Determine the Effective Markers of Bipolar Disorder", under Dr. Sunderesh Heragu. After earning my PhD, I would like to secure a position in academia for teaching and research.
Duy Anh Duong-Tran
Before coming to Purdue University, I earned Bachelor's degrees in Mathematics and Industrial/Entrepreneurial Engineering, and a Master's degree in Industrial Engineering, at Western Michigan University. At WMU, I became greatly interested in theoretical frameworks such as Spectral Graph Theory, Random Graph, Random Matrix Theory, Combinatorics, Stochastic Processes, and their applications to various complex networks. As I begin my research career, I would like to contribute to both the theoretical foundations of complex networks and their applications in structural/functional human brain connectomics. I find that my research passions align well with Dr. Joaquín Goñi’s research interests. Recently I’ve also become very interested in neuroplasticity and its relationship to time-dependent (online) network models such as the Preferential Attachment Model. I am also very fascinated about theoretical/applied community detection approaches in network science. I received a Ross Fellowship for the academic year 2017-18.
I earned my Bachelor’s degree in Mathematics at Xi'an Jiaotong University, China. I enjoyed implementing mathematical methods in practical problems when I was introduced to statistics, probability and operations research, so I chose operations research as my Master's major at University of Chinese Academy of Sciences. While earning my Master's I became interested in network science, and my intellectual curiosity and admiration for this motivated me to pursue a PhD. I am very excited to work with Prof. Joaquín Goñi and Prof. Mario Ventresca, and I hope we will do great research.
I completed my Bachelor's in Electrical and Electronics Engineering at PSG College of Technology, India, after which I worked as a Product Development Engineer. I am currently pursuing a Master's in Industrial Engineering and am greatly interested in the area of Networks Science and its applications. I am looking forward to exploring and contributing to the theoretical foundations of Networks, especially in methods related to communicability and community detection in complex networks.
Undergraduate Student, First-Year Engineering
I am a First-Year Engineering student pursuing a Bachelor’s in Industrial Engineering. I find Dr. Joaquín Goñi’s research on Brain Connectomics riveting and am eager to participate in the CONNplexity Lab. I have a specific interest in statistical analysis on brain connectomics and complex networks and I will be working on an independent study in the Spring 2017.
I completed my Bachelor of Science degrees in Neuroscience and Biology at Indiana University Bloomington in 2016, where I studied topics including the neurobiology of addiction and electroencephalography (EEG). Currently, I am completing a degree in Industrial Engineering and plan to pursue a career centered around Machine Learning and Optimization. I am fascinated with brain connectivity and I am very excited to work with Dr. Joaquín Goñi in the CONNplexity Lab to learn more about network science and its applications.
PhD Candidate, Electrical and Computer Engineering, Purdue University
I earned my Bachelor's degree in Electrical Engineering from the University of Engineering and Technology, Lahore, Pakistan, and my Master's from Purdue University in Electrical and Computer Engineering. As a research assistant, I am a part of the Purdue Neurotrauma Group and have explored the relationship between metabolic changes and head acceleration event characteristics in youth contact sports athletes, using Magnetic Resonance Spectroscopy. Currently, I am analyzing multi-site reproducibility of brain fingerprints in resting-state functional connectomes and structural connectomes based on DWI. I am excited to explore new methods which would help in combining data for larger multi-site studies.
Emanuela De Falco
Postdoctoral Researcher with Dr. Christopher C. Lapish, Associate Professor, IUPUI, School of Science, Dept. of Psychology
I study electrophysiological recordings of rodent behavior, focusing particularly on the analysis of spike trains and local field potentials recorded in areas of the brain involved in working memory and decision making.
Postdoctoral Researcher with Dr. Liana Apostolova, Barbara & Peer Baekgaard Professor, Indiana Alzheimer Disease Center, IU School of Medicine
My research focuses on the development and validation of neuroimaging biomarkers for neurodegenerative diseases. I earned a PhD in Biomedical Engineering from Purdue University (2016) where I worked on developing functional MRI cerebrovascular and connectivity based biomarkers for mild traumatic brain injury, as part of the Purdue Neurotrauma Group. I am currently focused on the development of structural and functional connectivity biomarkers for neurodegenerative disorders, on studying the mechanisms of cognitive reserve, and on the development of methodologies for integration of multimodal data. As I pursue research projects in these areas, I am excited to combine Dr. Apostolova's mentorship in neurodegeneration with Dr. Goñi’s mentorship in computational neuroscience.
PhD student in Clinical Psychology with Dr. Melissa Cyders, Associate Professor, Dept. of Psychology, School of Science, IUPUI
My research focuses on the neurocognitive mechanisms underlying impulsivity and risk-taking behaviors. I received an NIAAA F31 fellowship to support my dissertation project examining the relationship between positive urgency (i.e., a tendency to act rashly under extreme positive emotions) and alcohol-related risk-taking using oral alcohol administration and emotion induction methods as well as complex whole-brain connectomic analyses using resting-state fMRI data. I am excited to work with Dr. Goñi and his group to learn more about brain network science.
PhD Student, Weldon School of Biomedical Engineering
I received a BE degree in Electronics and Communication Engineering from Anna University, India in 2006, then completed a Master's degree in Electrical Engineering at University of Michigan, Ann Arbor, in 2007, specializing in Signal Processing. Following this, I worked at The MathWorks for seven years, developing, testing and providing application support for mathematical software (MATLAB and Simulink). In 2015, I joined the Center for Computational Neuroscience and Neural Technology at Boston University, where I studied the neural mechanisms of speech-in-noise perception using electroencephalography (EEG) and techniques from network science. During the Fall 2016 semester, I joined Prof. Joaquín Goñi's lab at Purdue University as a graduate student. I am interested in studying complex systems in nature which exhibit a degree of orderly emergent behavior, despite being composed of parts that seemingly interact with each other in a disorderly manner. In particular, I am interested in using techniques from network science, nonlinear dynamics, signal processing, and statistics to characterize complex systems that occur in a variety of disciplines including neuroscience. For my PhD work, I use functional neuroimaging data to study patterns of brain connectivity in health and disease. I received a Lynn Fellowship from the Purdue Graduate School for the academic year 2016-17.