cv
Basics
| Name | Michal Lewkowicz |
| Label | Undergraduate Researcher |
| michal.lewkowicz@yale.edu | |
| Phone | +1 (516) 263-2028 |
| Url | https://mlewkowicz.github.io/ |
| Summary | Undergraduate researcher specializing in robotics, artificial intelligence, and human-robot interaction. |
Education
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2019.08 - 2024.12 New Haven, CT, USA
B.S. & B.A.
Yale University
Computer Science & Applied Mathematics
- Machine Learning
- Intelligent Robotics
- Building Interactive Machines
- Randomized Algorithms
- Automata Theory
- Probability Theory
- Systems Programming
- Data Structures & Algorithms
Work
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2023.06 - 2023.12 Researcher (Advisor: Juho Kim)
KAIST Interaction Lab (KIXLAB)
- Built the pipeline for a multi-modal video editing system to enable the expression of edits with natural language and sketching (integrated CLIP, activity recognition, dense captioning, and LLMs to reason about video context).
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2022.01 - Present Researcher (Advisor: Marynel Vázquez)
Yale Interactive Machines Group
- Led the development of a Unity-ROS simulator for multi-agent reinforcement learning and social navigation.
- Enabled fine-grained control of simulated pedestrians and agents, and sensor emulation for sim-to-real transfer.
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2021.01 - 2021.06 Researcher (Advisor: Dragomir Radev)
Yale LILY Lab & Meta AI
- Investigated fusion of semantic representation graphs (AMR) for improving faithfulness of abstractive text summarization in collaboration with Facebook's Language and Translation Technologies (LATTE) group.
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2020.06 - 2020.09 Technology Lead / Mentor
Concepts for Adaptive Learning (CfAL)
- Provided computer and technology training to students and adults around New Haven (full-stack development).
- Ran community outreach programs such as a virtual computer lab, programming workshops, and personalized tutoring.
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2019.06 - Present Researcher (Advisor: Brian Scassellati)
Yale Social Robotics Lab
- Co-led project investigating strategy estimation for multiple agents in competitive and collaborative settings.
- Built a real-time object interception algorithm on a Stretch RE1 robot for sorting objects with human preferences and worked on a semi-supervised clustering algorithm for identifying sub-categorizations of recyclables.
- Utilized ROS, OpenCV, and Speech-to-Text to build the software infrastructure of an in-home interruptions training social robot for adults with ASD on the Jibo robot platform. Conducted a user study in ~15 homes.
- Implemented Bayesian knowledge tracing for tracking the knowledge of an intelligent robotic tutoring system using a UR5e robot arm.
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2018.06 - 2019.06 Researcher (Advisor: Nilanjan Chakraborty)
Interacting Robotic Systems Lab at Stony Brook
- Used graph-based techniques to design a novel leader selection algorithm for distributed robotic swarm control and worked on optimizing path planning algorithms.
Publications
Insubmission
Awards
- 2022.03.01
Best Paper Award Honorable Mention
HRI Conference
- 2022.12.01
- 2019.08.01
Simons Summer Research Fellowship
Stony Brook University
- 2019.08.01
YES Scholar
Yale University
Skills
| Programming Languages | |
| Python | |
| C/C++ | |
| C# | |
| JavaScript | |
| Bash | |
| SQL |
| Frameworks & Tools | |
| ROS/ROS2 | |
| PyTorch | |
| Unity | |
| OpenCV | |
| Git | |
| Docker | |
| AWS |
Languages
| English | |
| Native |
| Polish | |
| Fluent |