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parth nobel parth nobel contents bio publications miscellaneous other writings co founder and cto optimal intellect maintainer cvxpy parthnobel berkeley edu bio i am a maintainer and technical steering council member for cvxpy and cvxpylayers i did my phd at stanford university with professors stephen boyd and emmanuel candès i was supported by the national science foundation graduate research fellowship program nsf grfp during my phd i interned at amazon supply chain optimization technologies scot and gridmatic in undergrad i interned at apple working on embedded systems and scientific computing and at hp working on data infrastructure while at stanford i was the instructor for the summer offering of ee364a cme364a stanford s optimization course as the instructor i revised the class content and lecture slides for the first time in over two decades the new slides are available here i also co developed and taught a shorter version of the course as a professional development course at nasa those course materials are available here in other quarters i was head ta for ee364a cme364a and engr108 an introductory linear algebra course as an undergrad i was the sole ta for eecs219a berkeley s graduate numerical simulation and modeling class for part of my phd i was a visiting scholar at uc berkeley working with riley murray professor michael mahoney and professor jim demmel on randomized numerical linear algebra as part of the ballistic project prior to attending stanford i was a regents and chancellor s scholar at uc berkeley where i earned a bachelors of science in electrical engineering and computer science eecs i worked with professor jaijeet roychowdhury on system theory and numerical methods publications w zhang p nobel a jeendgar r murray p schiele s diamond cvxpy 1 9 recent advances in optimization modeling software arxiv 2606 14891 math oc q healey p nobel s boyd differentiating through a quadratic cone program optimization letters 2026 https doi org 10 1007 s11590 026 02315 8 d cederberg w zhang p nobel s boyd disciplined nonlinear programming https web stanford edu boyd papers dnlp html p nobel a rozenshtein c sharma untangling ai openness wisconsin law review 2026 https wlr law wisc edu wp content uploads sites 1263 2026 03 4 nobel rozenshtein sharma e2 80 93 camera ready pdf y chen d tse p nobel p goulart s boyd cuclarabel gpu acceleration for a conic optimization solver acm transactions on mathematical software 2026 https dl acm org doi 10 1145 3815420 p nobel a rozenshtein c sharma open access ai lessons from open source software the lawfare institute https www lawfaremedia org article open access ai lessons from open source software p nobel d lejeune e candès randalo out of sample risk estimation in no time flat arxiv 2409 09781 math st t marcucci p nobel r tedrake s boyd fast path planning through large collections of safe boxes ieee transactions on robotics 2024 https ieeexplore ieee org document 10612232 j sun y jiang j qiu p nobel m kochenderfer m schwager conformal prediction for uncertainty aware planning with diffusion dynamics model neurips 2023 https neurips cc virtual 2023 poster 71449 p nobel e candès s boyd tractable evaluation of stein s unbiased risk estimate for convex regularizers ieee transactions on signal processing 2023 https doi org 10 1109 tsp 2023 3323046 p nobel a agrawal s boyd computing tighter bounds on the n queens constant via newton s method optimization letters 17 1229 1240 2023 https doi org 10 1007 s11590 022 01933 2 t wang l wu p nobel and j roychowdhury solving combinatorial optimisation problems using oscillator based ising machines natural computing 20 287 306 2021 https doi org 10 1007 s11047 021 09845 3 invited paper t wang l wu p nobel and j roychowdhury solving combinatorial optimisation problems using oscillator based ising machines unconventional computation and natural computation ucnc august 2020 p nobel auto_diff an automatic differentiation package for python springsim 20 may 2020 https dl acm org doi 10 5555 3408207 3408219 miscellaneous other writings i occasionally did significant writing for the uc berkeley model un that work is provided below conference on the laws of war for the cyber era background guide excerpts addressing power grid infrastructure from group of latin american and caribbean countries 2020 background guide us senate data privacy background guide i also have written quick reference theorem lists for a couple classes at berkeley other people have told me they re useful i make no guarantees about the absence or presence of typos ee 120 signals and systems spring 2020 w babak ayazifar math 123 ordinary differential equations fall 2020 w di fang math 185 complex analysis spring 2021 w di fang