Hi! I'm Martin.

About Me

I am a master's student in Computational Science and Engineering at Harvard University. I am passionate about developing computational models for autonomous laboratories. Building on top of the current research in robotic chemistry, I wish to develop a robot capable of independently navigating the enormous chemical search space, designing and synthesizing a potentially newly discovered molecule, collecting experimental results, and iterating until the desired material properties are satisfied.

Before coming to Harvard, I graduated from Massachusetts Institute of Technology (MIT), majoring in Chemical Engineering. I obtained my undergraduate degree from the University of Waterloo with major in Chemical Engineering, with minor in Artificial Intelligence, and a specialization in Process Modelling, Optimization and Control.

I aspire to become an interdisplinary engineer, solving challenges at the intersection of computer science and engineering. I have pursued diverse research and industrial experiences in the areas of autonomous vehicle, wireless sensing, energy, pharmaceutical and more.

Please feel free to reach out via email - I love talking about my projects.

Publications


  • On the Use of Machine Learning and Deep Learning for Radar-Based Passenger Monitoring

    • Hajar Abedi, Martin Ma, Jennifer Yu, James He, Ahmad Ansariyan, George Shaker

    IEEE - AP-S/URSI, 2022

Projects

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X-ray Disease Segmentation
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Option Pricing with RL
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Lane Detection
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Tetris.ai
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E-Commerce Product Classification
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Virtual Metering
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Gluten-Free Beer Fermentation Simulation
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Path Planner

 

 

Timeline

 

  • Harvard University

    2022 Sept - 2024 May

    Started master's program at Harvard!



  • AstraZeneca

    2022 June - 2022 Aug

    Technical Consultant

    Developed a real-time locating system (RTLS) prototype to track equipment positions using ultra-wideband (UWB) and integrated with autonomous mobile robots (AMR).

  • Massachusetts Institute of Technology

    2021 Sept - 2022 Aug

    Started master's program at MIT!



  • University of Waterloo

    2016 Sept - 2021 June

    Graduated from University of Waterloo



  • Wireless Sensors and Devices Lab

    2020 Sept - 2021 Jan

    Machine Learning Intern

    Developed a convolutional LSTM network to localize passenger and classify occupant type using multi-input multi-output (MIMO) frequency modulated continuous wave (FMCW) radar, improved accuracy by 20% compared to the previous method.

  • Autonomous Vehicle Lab

    2020 May - Aug
    Machine Learning Intern

    Implemented an active learning framework for LiDAR-based 3D object detection and improved sample efficiency by 5% through designing uncertainty-based acquisition functions.

  • Suncor Energy

    2019 Sept - Dec
    Data Analyst Intern

    Reduced unreachable underground oil field temperature prediction error by 30% through constructing a physics-based neural network, this led to 1.3 million $ annual benefit.

  • Petro-Canada Lubricants

    2019 Jan - Apr
    Process Engineering Intern

    Reduced plant power consumption by 12% through optimizing the plant controller operating functions based on the cost/benefit analysis.