meet Our team
Adriana Mezic M.A.
CEO and Co-Founder
Adriana is co-Founder of AIMdyn, Inc. and has served as CEO since 2003. With degrees in nursing and health education, she worked in the medical field for more than 10 years and was the director of the medical assistant teaching program at Santa Barbara Business College. Adriana's areas of research include applications of agent-based modeling in social sciences, such as the influence of agent-environment interactions on drinking behavior and urban insurgencies. She has publications in the prenatal diabetes research area as well as smoking prevention/policies and addiction. Adriana is an avid volunteer in the nonprofit sector. She is currently the board president of the Jodi House Brain Support Center. Adriana also served on the board of directors of Teddy Bear Cancer Foundation and is a current Teddy Bear Cancer Foundation Ambassador. When she has free time, Adriana loves reading, traveling and cooking.
Dr. Igor Mezic
Founder and Chief Technical Advisor
Professor Mezic works in the field of artificial intelligence (AI), dynamical
systems, control theory and applications to security, energy efficient design
and operations in complex systems. He did his Ph. D. in Dynamical Systems
at the California Institute of Technology. For his work on analysis and control
of complex systems, he was named Fellow of the American Physical Society,
Fellow of the Society for Industrial and Applied Mathematics and Fellow of the
Institute of Electrical and Electronics Engineers. He is the recipient of the
2021 Crawford Prize, awarded once in two years to a researcher in
Dynamical Systems Theory. Dr. Mezic is a Distinguished Professor in the
Department of Mechanical Engineering and the Department of Mathematics
and the Director of the Center for Energy Efficient Design at the University of
California, Santa Barbara. He is the co-Founder and CTO at AIMdyn, Inc. and
Chief Scientist and CTO at Mixmode.ai
Dr. Maria Fonoberova
Director of Research
Maria received her B.S. in Applied Mathematics from Moldova State University in 2005 and her Ph.D. in Mathematics and Physics from Academy of Sciences of Moldova in 2008. Maria joined AIMdyn in 2008 and is currently the Director of Research. Dr. Maria Fonoberova has over 15 years of experience in big data analytics and spectral analysis of dynamical systems, and has served as PI and co-PI on many successful R&D programs for government customers.
Her research interests include dynamical systems, Koopman Operator techniques, AI, and agent-based models.
Terry Phillip Ingram
Chief Operations Officer
Terry is a hands on seasoned Business Operations professional with 45 years’ experience in the finance / contracts / cost management arena in a wide variety of work environments with Fortune 50 and start-up companies. Thirty-five plus years’ experience working with the Defense Contract Audit Agency on all aspects of finance, contracts, and accounting issues. Prototypical and production manufacturing experience in an ERP environment.
Dr. Allan M. Avila
Senior Research Scientist
Allan received his B.S. in Mechanical Engineering from the University of California Riverside in 2015, his M.S. in Mechanical Engineering from the University of California Santa Barbara in 2017 and his PhD in Mechanical Engineering from the University of California Santa Barbara in 2020. Allan joined AIMdyn in 2019 and is currently a senior researcher. Allan's general research is the data-driven analysis and forecasting of dynamical systems via spectral operator methods.
Dr. Ryan Mohr
Senior Research Scientist
Ryan obtained his PhD from UC Santa Barbara in Mechanical Engineering with an emphasis in Dynamical Systems. His research interests include dynamical systems, Koopman operator theory, and machine learning.
Alan received his M.S. in Electrical & Computer Engineering from the University of California, Santa Barbara in 2022. Alan joined AIMdyn in the spring of 2021 and is currently working on developing control methods and climate models based on dynamical systems theory. In his free time, Alan enjoys drawing and playing soccer.
Steven received his B.S. degree in Data Science from University of California, San Diego. He is focused on gaining new and challenging experiences to improve himself as much as possible! In his free time, he enjoys video games, sports, and traveling.
Songhao studied Chemical Engineering at UC Santa Barbara and received his B.S. in Chemical Engineering at UC Berkeley in 2017 with experiences focused on numerical methods and computational modeling. Continuing along that trajectory, he went on to complete his M.S. in Mechanical Engineering with a focus on computational modeling of cardiovascular tissues. To dive deeper into the power of data analytics and contribute to the new wave of artificial intelligence adoption, Songhao seeks to apply his previous work on fundamental modeling, biomechanical research, and business inquiries to AIMdyn, Inc.
Joseph has a bachelor's in physics from RPI and a master's in applied physics from Yale. His research interests are quantum mechanics and AI. His hobbies are music, drawing, and soccer.
Joseph holds a Master’s of Science in Applied Math from Cal Poly, San Luis Obispo and Bachelor’s of Arts in Math and Physics from Sonoma State University. His research is in applied math and data science with an emphasis in time-series models, having completed his master’s thesis on Network Informed Time-Series Modeling of COVID-19. Joseph enjoys hiking, camping, traveling and trying many different foods, the spicier the better.
Jonathan received his B.A. in Chemistry from Cornell University and his PhD in Chemistry from the University of California Berkeley. His research interests include quantum chemistry and AI. In his freetime he enjoys cooking, reading, and traveling with his dog.
Gassan is a recent graduate in physics from the University of Massachusetts Amherst. He loves math, and loves applying it to better understand the world around us. In his free time he makes YouTube videos for his channel, Math & Physics Fun with Gus. He is currently pursuing his masters in data science at Harvard. Gassan loves to learn and understand why what he learns is true because understanding why to him, is fundamental to master any theory!
Alex received his M.S. in Mechanical Engineering from Clemson University in 2022. Alex is currently working on developing new operator theoretic control algorithms and its applications. Alex has experience working in power generation during his time as a research and development engineer at Rolls Royce Power Systems, and spent a summer working at Astra to develop optimization based design techniques for rocket launch vehicles. In his free time, Alex enjoys playing roller hockey and exploring hiking trails.
Chris DuPre graduated from University of Wisconsin-Madison with a B.S. in Mathematics and the Georgia Institute of Technology with an M.S. in Mathematics. His research interests primarily surround Random Dynamical Systems and Measure Valued Processes, specifically the development of quantitative estimates for general state space Markov Chains. In his free time he loves to hike and read.
Will is a PhD student, and Chancellor’s Fellow, at UCSB in the Interdepartmental Program in Dynamical Neuroscience. In addition to his thesis work on experimentally and computationally studying the hippocampal circuit, Will works on problems at the intersection of dynamical systems theory, statistical physics, and machine learning. When not working, Will enjoys cycling around Southern California, which is complicated by his innately poor sense of direction.
Dean graduated from New York University with a B.A. in physics and is currently pursuing a PhD in physics at the University of Washington in Seattle. Primary research interests include developing analytical tools and models for biophysical systems, applying statistical theory, and merging dynamical systems theory with machine learning systems and artificial intelligence. Hobbies include solving puzzles of all kinds, reading widely, and walking through nature with a pocket microscope in hand.
Jordan is currently a PhD student in Psychological & Brain Sciences at UCSB. In his research, he applies machine and deep learning methods to model how fluctuations in global state influence cognitive processes and their underlying neural activity. In his free time he loves to go hiking and train AI agents to play video games.
Isaac received his B.S. in Physics from CMU in 2015, and M.S. in Physics in 2017 from University of Washington on his way towards a PhD (expected Summer 2023). His graduate research has been development of magnetic-nanoparticle imaging protocols for biological assays, which has involved image analysis, modeling of physical systems, and in vitro biological protocols. He enjoys crosswords, board games, and running.
AIMdyn has numerous consultants which are working on an “as needed” basis using their expertise in wide areas of R&D, AI and software development.