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Manmeet Singh Bhabra

Upon completing his undergraduate studies in Canada, Manmeet started his Master’s in Mechanical Engineering at MIT in Fall 2018. His principal research focus is on high-order numerical methods for underwater acoustic modelling and simulation. In his free time, he enjoys following and playing soccer and basketball. The picture shown here is from what is known as the Iron Ring ceremony, a customary service in Canadian engineering programs. In this ceremony, graduating students are given an Iron Ring (traditionally worn on the pinky finger) as a constant reminder to remain humble and to always live by a high standard of professional conduct. He is currently working on:
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Tony Ryu

I joined MSEAS in the summer of 2020 as a SM student in Computational Science & Engineering (CSE). I completed my Bachelor’s in Aerospace Engineering at Delft University of Technology in the Netherlands. My current research is on data-driven reduced order modelling methods. Outside of academics, I enjoy soccer and the short bike rides to and from places.
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Chinmay Kulkarni

Chinmay is a graduate student pursuing a doctorate in Mechanical Engineering. His current work involves the development of intelligent machines and methods to learn and predict the transport of oceanic pollutants (debris and nutrients on a global scale. He spent four wonderful years at IIT Bombay, India from 2011 until 2017 and received a Master’s in Mechanical Engineering from MIT in 2017. Beyond research, he is also an enthusiastic pilot who is always willing to explore beauty of New England. His other hobbies include endurance biking and playing the drums. He is currently working on: His publications so far include:
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Aman Jalan

I joined MSEAS as an SM MechE candidate in the Fall of 2020. My research broadly spans the areas of Bayesian Inference and Machine Learning for oceanic dynamical systems. Prior to joining MIT, I completed my Bachelor’s in Mechanical Engineering and Master’s in Data Sciences at IIT Madras, India. During my 5 wonderful undergraduate years, I had the good fortune of doing research in both academic and industrial settings. For my undergraduate thesis, I worked on augmenting a popular causal inference technique to identify causal climatic dependencies from spatial-temporal data. On the industrial front, my experiences run the gamut from cutting losses for an early-stage food-delivery startup to researching quantitative trading strategies for a hedge fund. Outside of research, I am an avid non-fiction reader (recently started foraying into fiction), a mediocre tennis player and travel enthusiast.
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Clara Dahill

I joined MSEAS in the fall of 2020, pursuing a Masters in Ocean Engineering (SMOE). I am currently an active duty officer in the US Coast Guard, specializing in engineering. I received my Bachelor’s degree in Civil Engineering from the US Coast Guard Academy in Connecticut, where I focused on coastal engineering and stormwater systems. Before MIT I served two tours in Honolulu, HI, as a Naval Engineer-in-Training on Coast Guard ships that patrolled the Pacific Ocean from the Galapagos to the Arctic Circle. I love the ocean and enjoy surfing, free diving, sailing, and paddleboarding.

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Zach Duguid

Zach is a graduate student in the MIT-WHOI Joint Program for Applied Ocean Science and Engineering. He received his Bachelor’s degree in Aeronautics and Astronautics at MIT in June 2018. With MSEAS, Zach’s research focused on the intersection of numerical ocean modeling and the guidance of autonomous vehicles. Aside from research, Zach enjoys staying active by cycling, skiing, and playing basketball. As an undergraduate, he played varsity football for four years as a linebacker and defensive back.​

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Jacob Heuss

Jacob is an MIT/WHOI joint program student who has been in the US Navy for 15 years having served on submarines, destroyers, and aircraft carriers. He completed his Bachelor of Science at Purdue University in Atmospheric Science. His areas of interest are reduced-order models. In his time outside of studies, he enjoys spending as much time with his wife and son as possible traveling throughout the US and abroad.
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Aaron Charous

Aaron joined MSEAS in the fall of 2019, starting his masters in Computational Science & Engineering (CSE) with plans to pursue a PhD in MechE-CSE. Broadly, his interests span stochastic differential equations and signal processing. He has begun focusing on numerical solutions to the acoustic wave equation in the presence of uncertainty in addition to Bayesian inference for acoustic inverse problems (see DEEP-AI). Furthermore, he works on developing and improving reduced-order modeling techniques by incorporating differential geometry for applications in uncertainty quantification. Before coming to MIT, Aaron graduated with a Bachelor of Science from Brown University, double concentrating in applied mathematics and engineering, where he researched terahertz optics phenomena. Outside of academia, he enjoys running, water skiing, hiking, and low-level soccer.

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Aditya Ghodgaonkar

Aditya completed his Bachelor’s in Mechanical Engineering at R.V. College of Engineering, Bangalore (2017) before moving to Purdue University to pursue his M.S in the same field. Upon graduating from Purdue in 2019, he joined MIT to pursue his Ph.D. in Mechanical Engineering. His previous work at Purdue focused on the development of numerical tools for investigating the self-similar propagation of low-Reynolds number gravity currents for geophysical applications. Presently his research interests lie in the areas of numerical methods and high-performance computing. Beyond research, Aditya enjoys reading, trekking, cycling, and would like to get involved in activities such as sailing, kayaking, and rowing.

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Kyprianos Gkirgkis

Coming from Greece, Akis started his Master’s in Mechanical Engineering at MIT in Fall 2018. The focus of his research is in stochastics and more specifically uncertainty quantification and reduced-order ocean modelling using the Dynamically Orthogonal Primitive Equations framework of MSEAS. In his free time, he enjoys sailing, a sport in which he believes he can put his knowledge from ocean modelling into practice. He is currently working on:
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Mohamad Merhi

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Michael Humara, LCDR USN

I am an active duty Naval submarine officer with over 12 years of service. 1st year MIT-WHOI Joint Program student interested in machine learning applications to modeling and simulation. Proud father of Michael and Isla Humara and husband to Brianne Humara.
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David Ferris

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Abhinav Gupta

Abhinav is a PhD candidate in Mechanical Engineering, and also a fellow of the Tata Center for Technology and Design at MIT . He received his Bachelor’s degree and Master’s degree in the same field from the Indian Institute of Technology, Kanpur. He was a recipient of the S.N. Bose Scholarship, offered to select undergraduates to perform research in the United States. Pursuant to the scholarship and a follow-up internship, he worked in the MSEAS lab itself for two consecutive summers. Abhinav is currently working on developing state-of-the-art, uncertainty quantification, data assimilation and optimal sampling methods. Apart from research, his hobbies include playing badminton, and cooking Indian food. He is currently working on: His publications so far include:
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Wael H. Ali

Wael is a third-year graduate student in the MechE-CSE PhD program. His research interests span the fields of computational engineering, uncertainty quantification and data assimilation. His current work focuses on the efficient modeling of ocean acoustic waves propagation and signal tomography in the presence of environmental uncertainties, with the goal of using these tools to develop an underwater GPS system. Before joining MIT, Wael spent four fruitful years at the American University of Beirut (AUB), where he had the opportunity to refine his interests in the history and archaeology of Lebanon and the Middle East. He is currently working on: His publications so far include:
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Yiou Wang

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Corbin Foucart

My research is related to the development of hybridizable discontinuous Galerkin (HDG) methods for use in large-scale computational fluid dynamics software and ocean modeling. I am also generally interested in numerical methods, stochastic modeling, visualization, and high performance computing. I’ve spent most of my life in the greater Boston metro region and the San Francisco bay area, where I received my Bachelor’s degree in Engineering Physics from Stanford. When not searching for the solutions to life’s mysteries in discontinuous polynomial spaces, I’m an avid kickboxer, swimmer, and classical pianist. I am currently working on: His publications so far include:
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Johnathan Hiep Vo

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Arkopal Dutt

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Florian Feppon

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Matt Swezey

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John Aoussou

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Sydney Sroka

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Ding Wang

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Jen Landry, LCDR USN

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Jing Lin

Jing came from China to MIT for his Ph.D. in Mechanical Engineering and Computation in Fall 2012. He is interested in uncertainty quantification, data assimilation and Bayesian inference for nonlinear dynamical systems, including applications in fluid flows governed by the unsteady incompressible Navier-Stokes equations. He is currently working on: His publications so far include:
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Deepak Subramani

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Themis Sapsis

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Konuralp Yigit

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Lisa Burton

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Thomas Sondergaard

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Eric Heubel

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Mattheus (Matt) Ueckermann

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Akash Phadnis

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Peter Lu

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Arpit Agarwal

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Tapovan Lolla

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