{"id":20497800,"url":"https://github.com/thowell/cv","last_synced_at":"2026-03-19T16:06:29.975Z","repository":{"id":46896612,"uuid":"198121784","full_name":"thowell/cv","owner":"thowell","description":"Curriculum Vitae","archived":false,"fork":false,"pushed_at":"2023-10-16T18:36:53.000Z","size":8701,"stargazers_count":2,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-03-05T18:57:47.792Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"TeX","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/thowell.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2019-07-22T01:01:10.000Z","updated_at":"2024-12-29T00:49:06.000Z","dependencies_parsed_at":"2023-10-17T03:00:31.848Z","dependency_job_id":"635ab8d8-c2a0-422f-a646-ff9950b5cc96","html_url":"https://github.com/thowell/cv","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/thowell/cv","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/thowell%2Fcv","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/thowell%2Fcv/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/thowell%2Fcv/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/thowell%2Fcv/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/thowell","download_url":"https://codeload.github.com/thowell/cv/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/thowell%2Fcv/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":30291807,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-03-09T02:57:19.223Z","status":"ssl_error","status_checked_at":"2026-03-09T02:56:26.373Z","response_time":61,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-11-15T18:12:03.828Z","updated_at":"2026-03-09T10:34:11.590Z","avatar_url":"https://github.com/thowell.png","language":"TeX","funding_links":[],"categories":[],"sub_categories":[],"readme":"## Taylor Howell\n\n \u003cspan class=\"sans-serif\"\u003etaylor.athaniel.howell@gmail.com, https://thowell.github.io\u003c/span\u003e  \nPhD Candidate, Department of Mechanical Engineering,\nStanford University\n\n## Education\n\n\u003cdiv class=\"list\"\u003e\n\nPhD 2022, Department of Mechanical Engineering, Stanford University. \nAdvisors: Zac Manchester, Allison Okamura\n\nMS 2019, Department of Mechanical Engineering, Stanford University.\n\nBS 2016, Department of Mechanical Engineering, University of Utah.\n\n\u003c/div\u003e\n\n## Experience\n\u003cdiv class=\"list\"\u003e \n\nResearch Scientist Intern - DeepMind \nRobotics Simulation Team (MuJoCo)\n(June - September 2022)\n\nResearch Intern - Google Brain\n(June - September 2021)\n\nCourse Assistant - Dynamics and Control of Aircraft (AA271a)\nDepartment of Aeronautics and Astronautics, Stanford University\n(April - June 2021)\n\nInstructor - GREAT Summer Camp.\nDepartment of Computer Science, University of Utah\n(June - July 2017)\n \nTwisty Puzzle Designer \n(August 2007 - January 2011)\n\n\u003c/div\u003e\n\n## Publications\n\n\u003cdiv class=\"list\"\u003e\n\n*Lead | Co-lead*\n\nNumerical Optimization For Things That Move: Simulation, Planning, and Control. **T. Howell**. 2022. ([dissertation](https://github.com/thowell/thesis))\n\nPredictive Sampling: Real-time Behaviour Synthesis with MuJoCo. **T. Howell**, N. Gileadi, S. Tunyasuvunakool, K. Zakka, T. Erez, Y. Tassa. arXiv. 2022. ([paper](https://arxiv.org/abs/2212.00541)) ([code](https://github.com/deepmind/mujoco_mpc)) ([slides](https://docs.google.com/presentation/d/1un6KXNTgmoG-gMXOn_TNUOFWh9EXzDnjOxxwoxMQYiM/edit?usp=sharing))\n \nCALIPSO: A Differentiable Solver for Trajectory Optimization with Conic and Complementarity Constraints. **T. Howell**, K. Tracy, S. Le Cleac'h. Z. Manchester. ISRR. 2022. ([paper](https://arxiv.org/abs/2205.09255)) ([code](https://github.com/thowell/CALIPSO.jl)) ([slides](https://slides.com/taylorhowell/calipso))\n \nDojo: A Differentiable Physics Engine for Robotics. **T. Howell** \u0026 S. Le Cleac'h, Z. Kolter, M. Schwager, Z. Manchester. (submitted to RSS). 2022. ([paper](https://arxiv.org/abs/2203.00806)) ([code](https://github.com/dojo-sim))\n  \nTrajectory Optimization with Optimization-Based Dynamics. **T. Howell**, S. Le Cleac'h, S. Singh, P. Florence, Z. Manchester, V. Sindhwani. Robotics and Automation Letters. 2022. ([paper](https://arxiv.org/abs/2109.04928)) ([code](https://github.com/thowell/optimization_dynamics)) ([poster](https://github.com/thowell/cv/blob/master/posters/optimization_dynamics_poster.pdf))\n\nFast Contact-Implicit Model-Predictive Control. S. Le Cleac'h \u0026 **T. Howell**, M. Schwager, Z. Manchester. (submitted to TRO). 2021. ([paper](https://arxiv.org/abs/2107.05616v2)) ([code](https://github.com/thowell/ContactImplicitMPC.jl))\n\nDirect Policy Optimization using Deterministic Sampling and Collocation. **T. Howell**, C. Fu, Z. Manchester. Robotics and Automation Letters. 2020. ([paper](https://arxiv.org/abs/2010.08506v3)) ([code](https://github.com/thowell/direct_policy_optimization))\n    \nScalable Cooperative Transport of Cable-Suspended Loads with UAVs using Distributed Trajectory Optimization. B. Jackson \u0026 **T. Howell**, K. Shah, M. Schwager, Z. Manchester. Robotics and Automation Letters. 2020. ([paper](https://roboticexplorationlab.org/papers/distributed_quads.pdf))\n    \nALTRO: A Fast Solver for Constrained Trajectory Optimization. **T. Howell** \u0026 B. Jackson, Z. Manchester. International Conference on Intelligent Robots and Systems. Macao, China. 2019. ([paper](https://roboticexplorationlab.org/papers/altro-iros.pdf)) ([code](https://github.com/RoboticExplorationLab/TrajectoryOptimization.jl))\n    \nSorting Rotating Micromachines By Variations in Their Magnetic Properties. **T. Howell**, B. Osting, J. Abbott. Physical Review Applied. 2018. ([paper](https://journals.aps.org/prapplied/pdf/10.1103/PhysRevApplied.9.054021))\n\n*Contributions*\n\nRoboPianist: A Benchmark for High-Dimensional Robot Control. K. Zakka, L. Smith, N. Gileadi, **T. Howell**, X. B. Peng, S. Singh, Y. Tassa, P. Florence, A. Zeng, P. Abbeel. arXiv. ([paper](https://arxiv.org/abs/2304.04150))\n\nDifferentiable Physics Simulation of Dynamics-Augmented Neural Objects. S. Le Cleac'h, HX Yu, M. Guo, **T. Howell**, R. Gao, J. Wu, Z. Manchester, M. Schwager. (submitted to RAL). 2022. ([paper](https://arxiv.org/pdf/2210.09420.pdf))\n\nDifferentiable Collision Detection for a Set of Convex Primitives. K. Tracy, **T. Howell**, Z. Manchester. ICRA. 2023. ([paper](https://arxiv.org/abs/2207.00669))\n\nUse of a highly parallel Microfluidic Flow Cell Array to determine therapeutic drug dose response curves. J. Arellano, **T. Howell**, J. Gammon, S. Cho, M. Janat Amsbury, B. Gale. Biomedical Microdevices. 2017. ([paper](https://link.springer.com/article/10.1007/s10544-017-0166-3))\n\n\u003c/div\u003e\n\n## Talks \u0026 presentations\n\n\u003cdiv class=\"list\"\u003e\n\nMuJoCo MPC: An Open-source Tool for Real-time Behavior Synthesis. ([poster](https://docs.google.com/presentation/d/14M2rz7DWrZeEf3Aa8lnxzaawUINGM0JP98HF-bJCs6g/edit?usp=sharing))\n- Hyundai Vision Conference. August 2023.\n\nNumerical Optimization For Things That Move: Simulation, Planning, and Control. ([thesis](https://github.com/thowell/thesis/blob/main/main.pdf)) ([slides](https://docs.google.com/presentation/d/1ypalKNcd1hAI59Fur3mFP5FYANqrQ1Smk2gUb-UiBIA/edit?usp=sharing)) \n- PhD Defense. Stanford. November 2022.\n\nContact-Implicit Predictive Control. ([slides](https://docs.google.com/presentation/d/1cKX3DPjEyANDVlfi7JYHEFXq15LCYBmchT4lVkyVnkc/edit?usp=sharing)) \n- [ELO-X Workshop](https://elo-x.eu/?p=1597). Freiburg. October 2022.\n\nCALIPSO: A Differentiable Solver for Trajectory Optimization with Conic and Complementarity Constraints. ([slides](https://slides.com/taylorhowel/calipso))\n- ISRR 2022. Geneva. September 2022.\n \nDojo: A Differentible Physics Engine for Robotics. (w/ S. Le Cleac'h) ([slides](https://slides.com/taylorhowell/dojo-bc98a0)) ([poster](https://docs.google.com/presentation/d/1Kdj7ZUSdwdRqJbqqZ1_kVe3V1hIyxTqK7vFjwI9HKHo/edit?usp=sharing))\n- Differentiable Physics for Robotics workshop. RSS 2022. New York City. July 2022.\n\nFast Contact-Implicit Model-Predictive Control. (w/ S. Le Cleac'h) ([slides](https://slides.com/simlc/contact_implicit_mpc)) ([poster](https://docs.google.com/presentation/d/1tdtYqT6TG8T2UW6IB2b7uXRweDTfD8UFUdbj3tJFMbQ/edit?usp=sharing))\n- The Science of Bumping into Things workshop. RSS 2022. New York City. July 2022. \n\nTrajectory Optimization with Optimization-Based Dynamics. ([presentation](https://youtu.be/Hntswjw0TAs])) ([slides](https://docs.google.com/presentation/d/1E_JPBT9gnIXP5MWUasNvQDgjxo6w6281m8Rp3sXeefM/edit?usp=sharing))\n- ICRA 2022, Philadelphia. May 2022.\n \nDojo: A Differentiable Simulator for Robotics. (w/ S. Le Cleac'h) ([slides](https://slides.com/taylorhowell/dojo-systemx)) ([video](https://youtu.be/TRtOESXJxJQ))\n- Microsoft Research. May 2022 \n- SciML webinar, Carnegie Mellon University. April 2022\n- SystemX lunch seminar, Stanford University. March 2022\n\nContact-Implicit Model-Predictive Control. (w/ S. Le Cleac'h). ([slides](https://docs.google.com/presentation/d/1Cqc-gLRv_R_L0CqNBmCzncsyD0lzGPoG4-qC2v7D2qI/edit?usp=sharing))\n- Machines in Motion, New York University. December 2021.\n- Locomotion Seminar, Carnegie Mellon University. November 2021.\n \nALTRO: A Fast Solver for Constrained Trajectory Optimization.  (w/ B. Jackson) ([poster](https://github.com/thowell/cv/blob/master/posters/altro_poster.pdf))\n- BARS, University of California Berkeley. November 2019\n- System X seminar, Stanford University. November 2019\n- Toward Online Optimal Control of Dynamic Robots, ICRA workshop. May 2019\n\n\u003c/div\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fthowell%2Fcv","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fthowell%2Fcv","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fthowell%2Fcv/lists"}