Meet MathWorks at the 2023
Grace Hopper Celebration

Kritika Ramani is a senior manager of Quality Engineering at MathWorks, where she manages a diverse team of engineers responsible for testing and qualification of various MATLAB and Simulink products including solutions for physical modeling, automated driving, and code generation. Kritika joined MathWorks in 2005, and some of her key contributions include creating testing infrastructures and shepherding several key quality initiatives across the organization.

Kritika holds a master’s degree in mechanical engineering from the University of Michigan, Ann Arbor. She is passionate about her role as a mentor and has actively contributed to several diversity, inclusion, and community outreach opportunities, including being a part of several MathWorks workshop teams for GHC, MATLAB EXPO, SWE, and the Open Data Science East conferences in the past few years.

María E. Gavilán is a technical program manager for Education and Research at MathWorks. María uses her technical expertise to support projects that seek to increase the use and adoption of MATLAB and Simulink in academic and research institutions worldwide. María has extensive experience in numerical simulation projects in the automotive and aerospace industries, particularly in aerodynamics, aeroacoustics, and control systems. María also has previous industrial experience in computer vision. Her areas of interest currently focus on autonomous vehicles and flight dynamics and control. María also volunteers in multiple initiatives and events looking to increase the representation of women in science and engineering. María received her undergraduate degree in physics from the National University of Colombia, her master’s degree in aerospace engineering from Purdue University, and her M.B.A. from the University of Illinois. 

Chinmayi Lanka manages a quality engineering team responsible for designing and implementing cutting-edge tools to qualify the deployment of deep learning algorithms to Raspberry Pi, FPGA, NVIDIA^® Jetson^®, and other embedded devices. During her time at MathWorks, she has contributed to development and qualification of several key deep learning functionalities in the product suite. She has also worked in a customer-facing role, helping engineers to investigate and overcome technical challenges in their own deep learning applications. She holds a master’s degree in electrical engineering, focusing on signal processing and computer vision, from the University of California Los Angeles.

Chinmayi has contributed to various Women in Technology events, such as GHC and SWE, by assisting with content development and serving as a TA at multiple hands-on exercise sessions, notably the “Edge AI with Raspberry Pi” workshop presented at GHC 19. She has been promoting Women in Technology by mentoring students at the Boston Museum of Science.

Sarah Mohamed is a software engineer at MathWorks, working on deep learning in the Statistics and Machine Learning group. Her team builds tools that enable scientists and engineers to exchange deep neural networks between MATLAB and other tools, such as PyTorch, ONNX™, and TensorFlow™. She has also worked as an application support engineer, helping customers to investigate and overcome technical challenges in their own machine and deep learning applications. Sarah holds dual bachelor’s degrees in computer science and biology from the University of Virginia, and a master’s degree in computational science and engineering from Harvard University. Sarah loves teaching and building tech that empowers women to tackle tough problems in fun and engaging ways. She delivered the interactive virtual workshop “Do You See What I See? Using AI and AR” at vGHC 20, Women in Data Science (WiDS) 2021, and Open Data Science Conference (ODSC) East 2021. She also delivered the workshop “Pocket AI and IoT” in-person at GHC 19.

Shweta Singh is a senior software engineer at MathWorks working to ensure that MATLAB and Simulink products and services are designed and implemented to the highest possible security standards. When she joined MathWorks in 2019, she worked in Engineering Development Group, where she worked directly with customers to resolve issues related to multiple MATLAB toolboxes. She holds master’s and bachelor’s degrees in computer science and engineering from India and is currently working on her Ph.D. thesis at Northeastern University in Boston, MA. Her research focus is to detect undesirable emergent behaviors in system of systems using machine learning. Shweta also has multiple publications in conferences and journals. Prior joining to MathWorks, she worked as an assistant professor with Delhi College of Engineering, India, and taught various STEM-related courses to undergraduate students.

Shweta has delivered multiple workshops, including “Deep Learning and IoT” at Ohio State University and the “Pocket AI and IoT” enrichment workshop at Black Girls Code in 2020. Shweta was also part of the team to create the vGHC 20 workshop “Do You See What I See? Using AI and AR.” Outside of work, she also presented in NanoDays at the Museum of Science and Girls Scouts conference. She is affiliated with GWISE, Northeastern Chapter, and was an invited presenter to CRA-W 2015 and 2016.

Dr. Brenda Zhuang is a consulting engineer and development manager at MathWorks, where she leads a team responsible for software tools for automatic deployment of embedded applications, such as motor controls and deep learning, to microprocessors and FPGAs. Brenda joined MathWorks in 2007. Her contributions include key features in the Simulink product family. 

She received her Ph.D. from Boston University in systems engineering, developing optimal scheduling approaches in smart sensor networks. She is strongly involved with the international research community of numerical simulation and design automation. She also serves on the technical program committee for many international conferences in control theory, modeling, and simulation.

Brenda’s team created the “Digital Twins in a Pandemic” workshop at vGHC 20; the “How to Do AI with Things That Fly” workshop, popular at GHC 19; and the “Strong ARM Arduino” demo that participants loved at the MathWorks booth for GHC 18.

Louvere Walker-Hannon is a MathWorks application engineering senior team lead who provides technical guidance and strategic direction on the implementation of AI and data science workflows for various applications. She also manages a team of application engineers. She has a bachelor’s degree in biomedical engineering and a master’s degree in geographic information technology with a specialization in remote sensing. Louvere has worked in three different engineering roles throughout her 20-plus-year career while at MathWorks.

Louvere has presented and continues to present at several STEM-related conferences on various topics and is an active STEM advocate. She has presented her work on natural language processing and presented AI workshops at various conferences. Louvere has presented her AI work at the Grace Hopper Celebration (2018–2020), Women in Data Science (WiDS), and other conferences. Louvere was a keynote speaker as a part of the Black in AI workshop for NeurIPS 2021. Louvere has a long history of serving as a STEM advocate and mentor especially related to underrepresented groups in technology. Louvere frequently and currently volunteers with Black Girls CODE, the Society of Women Engineers (SWE) African American and Latinos Affinity Groups, and the National Society of Black Engineers (NSBE). She is also a recent recipient of the SWE WE Local 2022 Engaged Advocate Award, which honors individuals who contributed to the advancement or acceptance of women in engineering.  She recently became a WiDS Ambassador in 2022. In her spare time, she enjoys volunteering, advocating for STEM Youth outreach for underrepresented groups in STEM, and helping as many people as possible via her work and volunteerism. Louvere is excited and honored to present at GHC 22!

Karthiga Mahalingam is a technical consultant at MathWorks. She works closely with customers to design, advise, and develop technical solutions focusing in biomedical, artificial intelligence (AI), image and signal processing, and app development using MATLAB. In her previous role at MathWorks as an application support engineer, she helped customers investigate technical challenges with MATLAB, especially in the domains of machine and deep learning. She holds a master’s degree in bioengineering from Georgia Institute of Technology, where her research was focused on brain-computer interfaces and AI.

Karthiga has assisted the deliver of the hands-on Deep Learning and IoT workshop at TechTogether Boston, the largest student-led hackathon for women in Boston. She was one of the teaching assistants for the “Do You See What I See? Using AR and AI” workshop presented by MathWorks at vGHC20. She was also one of the STEM panelists at the Boston Chapter of Black Girls Code (BGC) hosted by MathWorks.