Amor Menezes is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at the University of Florida. He is the Science Principal Investigator of the five-year, multi-university, Center for the Utilization of Biological Engineering in Space (CUBES), a NASA Space Technology Research Institute in biomanufacturing for deep space exploration. He also leads the Systems Design and Integration Division of CUBES.
Dr. Menezes' research interests are in dynamical systems theory and control, with applications to the fields of systems biology and synthetic biology. He is an IEEE Senior Member. He was a 2015 Emerging Leader in Biosecurity and a 2015 fellow of the Synthetic Biology Leadership Excellence Accelerator Program.
He was an Associate Project Scientist in the California Institute for Quantitative Biosciences (QB3) at the University of California, Berkeley from 2016 to 2017, and a QB3 Postdoctoral Scholar from 2011 to 2016. He was a Research Fellow between 2010 and 2011 in the Department of Aerospace Engineering at the University of Michigan, where he received a Ph.D. as an NSERC Post-Graduate Scholar and Michigan Teaching Fellow in 2010, and a Master of Science in Engineering as a Milo E. Oliphant Fellow in 2006. He graduated from the University of Waterloo in 2005 with a Bachelor of Applied Science in Mechanical Engineering with Distinction, Dean's Honors (top 10%), and the Sandford Fleming Co-op Medal.
Ali Mesbah is an Assistant Professor in the Department of Chemical and Biomolecular Engineering at the University of California Berkeley. Dr. Mesbah's research interests are in optimization-based systems analysis, fault diagnosis, and predictive control of uncertain and stochastic systems.
Before joining UC Berkeley, Dr. Mesbah was a senior postdoctoral associate at MIT. He holds a Ph.D. degree in systems and control from Delft University of Technology. Dr. Mesbah is a senior member of the IEEE and AIChE. He was awarded the AIChE's 35 Under 35 Award in 2017 for his contributions in the area of systems and process control.
Soumyajit Sen Gupta has been a member of the SDID division of the CUBES since March 2018. Prior to joining the CUBES as a post doctoral research associate with Dr. Amor Menezes, he was a doctoral research scholar at Indian Institute of Technology, Bombay since 2012. His doctoral thesis was on integrated plant-wide optimization of microalgae biorefinery, co-producing fuel, food and chemicals. He is a Bachelors' (2010 batch) from Jadavpur University and Masters' (2012 batch) from Indian Institute of Technology, Kharagpur; both these degrees have been in the discipline of Chemical Engineering. His research interests are in the area of systems design, modeling and optimization, renewable energy and process systems engineering.
Aaron Berliner is a Bioengineering graduate student in the Arkin Laboratory at UC Berkeley/UCSF. He studied bioengineering, control theory, and synthetic and systems biology at Boston University. In 2012, he began working as a research associate at the NASA Ames Research Center on projects involving 3D printing, bioelectrochemistry, and astrobiology. In 2013, he started as a research scientist in the Life Sciences group of Autodesk Research in San Francisco. At Autodesk, Aaron’s work ran the gamut from bioprinting, software engineering, synthetic virology, and DNA origami until 2016 when he moved back to space biology. Forming a partnership between UC Berkeley, Autodesk, and NASA Ames, Aaron began construction on Crucible, an open-source reactor for space synthetic biology experiments until 2017 when he started as a graduate student with Adam Arkin. He enjoys playing with his Mars-in-a-jar reactors. Aaron helped author the STRI grant that launched CUBES and is an NSF graduate fellow. His alternative scientific interests are terraforming and radiation biology. Aaron likes whiteboards and dry erase markers and dirty models with clean math.
George earned a B.S. in Chemical Engineering and a M.S. in "Process, Simulation, Optimization, and Control" from the University of Patras (Greece) in 2016 and 2018, respectively. While there, he was a member of the “Laboratory of Fluid Mechanics and Rheology” where his research focused on the rheology and numerical simulation of flows involving complex yield-stress fluids. He is now pursuing a PhD in Chemical Engineering at University of California, Berkeley, working in the “Process Systems and Control Laboratory”. His current research interests lie in learning-based optimal control of complex systems that intrinsically contain uncertainties. As a member of CUBES, he will be part of the SDID, focusing on systems engineering, process modelling, dynamic optimization and control. His motivation for studying Chemical Engineering was his particular interest in mathematics as a high-school student, as well as his enthusiasm in applying scientific principles towards solving real-world problems.
Will is an undergrad at UC Berkeley studying molecular biology and math. He is captivated by the potential of synthetic biology and the application of modern methods of engineering to biology whether in microbes, mammalian cells, or multi-organism communities. In CUBES, Will models and designs microbial communities for agricultural enhancement. Previously, he has worked on metabolic engineering for the production of biofuels and commodity chemicals, directed evolution for the bioremediative degradation of plastic, and microRNA circuits and protein engineering for immunotherapy.
Mia Mirkovic is a second-year undergraduate student in the Electrical Engineering and Computer Sciences department at the University of California, Berkeley pursuing mixed-signal processing and circuit design. Her interests include systems modeling and control, imaging, representation theory, modern music technology and history, and radio.
She works with Aaron Berliner on the development of Crucible, an open-source, 3D-printable chamber for space synthetic biology experiments, and mathematical models for Martian in-situ resource utilization for life support, power, and an integrated, multi-function, multi-organism bio-manufacturing system to produce fuel, food, and materials. These models will likely underlie a software package for accelerating mission design and simulation.