PhD scientist with a strong aptitude for deep, flexible thinking and a commitment to prioritizing team success. Dedicated to leveraging a proven track record of analytical prowess, data science expertise, and exceptional communication skills to drive business growth. Seeking a position as a data scientist, machine learning engineer, quantitative analyst, or quantum computing scientist.SkillsLanguages & Platforms: python, SQL, C, C++, git, bash, Linux Python Libraries: numpy, pandas, PyTorch, sklearn, tensorflow, NLTK, seaborn, matplotlibMachine Learning: NLP, deep learning, CNNs, Reinforcement Learning, Markov processes, Thompson sampling, UCB, data collection and cleaning, regression, classification, clustering, error analysis, APIQuantitative: stochastic optimization, statistical analysis, data visualization, data pipelinesSoft Skills: leadership, project management, communication skills, time management, flexibilityQuantum Computing: RF components, superconducting aluminum films, quasiparticle diffusionCryogenics: superconducting materials, SQUIDs, transition edge sensors, liquid noble cryogenicsHardware: dilution refrigerator, cryogenic nanopositioning stages, fiber-optics, free-space lasers, ultra-high vacuum systems, high pressure plumbing, radioactive sources, Modeling/Simulation Software: SOLIDWORKS, L-Edit, COMSOL, Onshape, KLayoutCertifications: The Erdős Institute Deep Learning Boot Camp (in-progress)
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Cryogenic Engineer | ScientistBlueforsNew York, Ny, Us -
Scgsr Fellow/Cnm UserArgonne National Laboratory Jun 2021 - Feb 2024Lemont, Illinois, United StatesDepartment of Energy Office of Science Graduate Student Research (SCGSR) Program Fellow, performing experimental dark matter physics research for the SPICE/HeRALD Collaboration.-Built and upgraded data acquisition system to be fully automated - which reduced requiredmanpower to one person - and fully remote - which reduced active time spent by 90%.-Employed causal inference and predictive models and verified the effectiveness of apotential strategy for the collaboration.-Designed first instrumented superconducting IrPt bilayer Transition Edge Sensor (TES)device chips and measured first instances of quasiparticle diffusion in superconductingaluminum fins attached to an IrPt TES. -
Research AssistantUniversity Of Massachusetts Amherst Physics Department May 2021 - Feb 2024Amherst, Massachusetts, United StatesPerformed experimental dark matter physics research for the SPICE/HeRALD collaboration-Performed time series and event-based analysis, which contributed to multiple papers,including a world-leading physics publication (currently in-preparation).-Constructed pipelines in Python for processing raw data. Employed causal inference andpredictive models, which uncovered a 150% to 350% increase in device performance.-Coordinated and led dilution refrigerator runs and maintenance. -
Research AssistantBrown University Department Of Physics Sep 2016 - Jan 2021Providence, Rhode Island, United StatesResearch assistant performing cryogenic and biophysics research.-Created the code basis (in C) of time series data digitization for the lab. Performed multivariate event ordering.-Designed and ran tests verifying the effectiveness of critical sub-processes of the main data acquisition device in the lab.-Studied and modeled the Brownian motion of stochastic particles.
David Osterman Education Details
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Physics -
Physics
Frequently Asked Questions about David Osterman
What company does David Osterman work for?
David Osterman works for Bluefors
What is David Osterman's role at the current company?
David Osterman's current role is Cryogenic Engineer | Scientist.
What schools did David Osterman attend?
David Osterman attended University Of Massachusetts Amherst, Brown University, Rutgers University–new Brunswick.
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