CV

Education

• B.S. in GitHub, GitHub University, 2012
• M.S. in Jekyll, GitHub University, 2014
• Ph.D in Version Control Theory, GitHub University, 2018 (expected)

Work experience

• Summer 2015: Research Assistant
  • Github University
  • Duties included: Tagging issues
  • Supervisor: Professor Git
• Fall 2015: Research Assistant
  • Github University
  • Duties included: Merging pull requests
  • Supervisor: Professor Hub

Skills

• Skill 1
• Skill 2
  • Sub-skill 2.1
  • Sub-skill 2.2
  • Sub-skill 2.3
• Skill 3

Publications

Seminar: Deep Learning Sequence Modelling (Natural Language Processing)

Das, Neha. (2018). Seminar: Deep Learning Sequence Modelling (Natural Language Processing).

3D Human Body Segmentation

Das, Neha. (2018). Development of a system that allows for the semantic segmentation of a 3D model of a human body into its constituent parts.

Beta-DVBF

N. Das, M. Karl, P. Becker-Ehmck and P. van der Smagt, "Beta DVBF: Learning State-Space Models for Control from High Dimensional Observations." 2019 arXiv preprint arXiv:1911.00756.

Learning State-Dependent Losses for Inverse Dynamics Learning

K. Morse, N. Das, Y. Lin, A. S. Wang, A. Rai and F. Meier, "Learning State-Dependent Losses for Inverse Dynamics Learning," 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Model-Based Inverse Reinforcement Learning from Visual Demonstrations

N. Das, S. Bechtle, T. Davchev, D. Jayaraman, A. Rai and F. Meier, "Model-Based Inverse Reinforcement Learning from Visual Demonstrations," 2020 Conference on Robot Learning (CoRL)

Learning Extended Body Schemas from Visual Keypoints for Object Manipulation.

S. Bechtle, N. Das and F. Meier, "Learning Extended Body Schemas from Visual Keypoints for Object Manipulation." 2020 arXiv preprint arXiv:2011.03882.

Talks

Teaching

Service and leadership

• Currently signed in to 43 different slack teams