Himanshi Yadav

Research Data Scientist @ UChicago | ML Engineer| HPC | CMU Robotics

Chicago, Illinois, United States

About

Experience

  • Research Data Scientist (Natural Language Processing) at University of Chicago, Research Computing Center
    Sep 2022 - Present · 3 yrs 11 mos

    Data Scientist specializing in AI/ML and High-Performance Computing (HPC) at the University of Chicago's Research Computing Center (RCC). I collaborate with researchers to develop and implement cutting-edge solutions, leveraging LLMs, deep learning, and HPC resources. My work spans diverse domains, including materials science, climate modeling, and urban studies. See my projects on GitHub!

  • Research Assistant at The University of Texas at Dallas
    Aug 2021 - Aug 2022 · 1 yr 1 mo

    I worked on emotion recognition in text and speech. I implemented and analyzed BERT-based techniques and contrastive learning pipelines on IEMOCAP and MELD datasets

  • Research Assistant at University of Pittsburgh
    Aug 2020 - Aug 2021 · 1 yr 1 mo

    I worked with Prof. Jeff Cohn in the field of psychology and machine learning. Specifically, I worked on diarization and on the alignment of video, audio, and text data from Deep Brain Stimulation and other mental health datasets. I also worked on turn-taking in text using BERT for human-computer conversations from the DAIC dataset.

  • Carnegie Mellon University (Greater Pittsburgh Region)
    • Graduate Research Assistant
      Aug 2017 - Aug 2020 · 3 yrs 1 mo

      I worked as a Graduate Research Assistant, advised by Dr. David Wettergreen. My work entailed extensive use of machine learning and especially deep learning to study and analyse orbital data, specifically hyperspectral image cubes. I also worked on the software development for the Zoe robot, Life in the Atacama project which involves experience with ROS and the use of the Mars Microbeam Raman Spectrometer.

    • Teaching Assistant
      Jan 2020 - May 2020 · 5 mos

      I was a TA for 10701 for the Spring 2020 semester taught by Prof. Tom Mitchell and Prof. Leila Wehbe. It is an introduction to machine learning course for PhD students.

    • Teaching Assistant
      Jan 2019 - May 2019 · 5 mos

      I worked as a Teaching Assistant for 16681 MRSD Course Project for Spring 2019, instructed by Prof. John Dolan. The course provided a platform for students to work on systems engineering projects and learn how to build and integrate various robotics sub-systems successfully.

  • DAAD Research Intern at Technische Universität München
    May 2016 - Aug 2016 · 4 mos

    ◦ Worked under Prof. Majid Zamani at the Hybrid Control Systems (HCS) Lab ◦ Implemented real-time object detection and User Datagram Protocol (UDP) based communication algorithm for communication between a processing computer server and several robot clients (Khephera-IV robots) ◦ Designed and implemented state feedback controller to control the motion of the robot from one defined state to another and experimented with SCOTS (toolbox developed at HCS for synthesizing symbolic controllers) and implemented equations defined in linear temporal logic on Khepera-IV robots