Ben Nelson

Ben Nelson Email and Phone Number

Senior Data Scientist at Chan Zuckerberg Initiative @ Chan Zuckerberg Initiative
Ben Nelson's Location
Redwood City, California, United States, United States
Ben Nelson's Contact Details

Ben Nelson work email

Ben Nelson personal email

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About Ben Nelson

Ben Nelson is a Senior Data Scientist at Chan Zuckerberg Initiative at Chan Zuckerberg Initiative. He possess expertise in extrasolar planets, planetary dynamics, bayesian statistics, high performance computing, scientific computing and 11 more skills. Colleagues describe him as "I wanted to take a moment to recognize Ben’s exceptional work throughout the #BuildforCOVID19 Global Online Hackathon. Ben volunteered his professional expertise to help an amazing cause! Ben strategized and executed complex programming to curate over 1.5k projects across nearly 400 judges with several rounds of selection and specific criteria. Partnering with Ben has been an absolute pleasure – I was inspired and energized by his dedication working around-the-clock to execute flawlessly! I was so lucky to work with Ben and I look forward to collaborating again in the future."

Ben Nelson's Current Company Details
Chan Zuckerberg Initiative

Chan Zuckerberg Initiative

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Senior Data Scientist at Chan Zuckerberg Initiative
Ben Nelson Work Experience Details
  • Chan Zuckerberg Initiative
    Senior Data Scientist
    Chan Zuckerberg Initiative Sep 2021 - Present
    Redwood City, Ca, Us
    • Full stack product analytics that supports bioimaging technology and programs• ETLing data for AI models• Data science intern manager
  • Chan Zuckerberg Initiative
    Data Scientist
    Chan Zuckerberg Initiative Jul 2020 - Aug 2021
    Redwood City, Ca, Us
    Product analytics for a biomedical research discovery app
  • On Deck
    Inaugural Fellow, On Deck Data Science (Odds1)
    On Deck Mar 2022 - Present
    San Francisco, California, Us
  • Wealthfront
    Data Scientist
    Wealthfront Jan 2019 - Jan 2020
    Palo Alto, California, Us
    Data scientist for Wealthfront's free financial planning product.• Designed metrics for product area• Conducted in-app A/B experiments to improve onboarding and account funding conversion (R, tidyverse)• Performed demographic analyses to predict and learn about user engagement with the Wealthfront app (R, tidyverse)• Wrote several data pipelines, enabling Wealthfront to monitor all email-related AB experiments, affiliate performance, and different account funding metrics (git, Scala, Spark)• Built and maintained internal shiny dashboards for financial planning, blog content, and marketing (R, shiny)
  • Insight Data Science
    Data Science Fellow
    Insight Data Science Sep 2018 - Dec 2018
    San Francisco, Ca, Us
    Built WhirlWind, a web app that recommends time-efficient walking tours of San Francisco attractions• Scraped, processed, and engineered features from Tripadvisor reviews• Developed a pipeline using k-means clustering + Dijkstra's algorithm to generate "highly-rated" walking routes and validated my recommendations on hundreds of simulated cities.• Deployed whirlwind.site with an interactive map using Flask, AWS, Google Maps API, and Folium
  • Northwestern University
    Postdoctoral/Data Science Scholar
    Northwestern University Sep 2015 - Aug 2018
    Evanston, Il, Us
    Led original interdisciplinary research projects• Developed hierarchical Bayesian models using Stan to infer multiple populations of exoplanets from real datasets (mc-stan.org)• Collaborated with civil engineers to apply a network-based frequency analysis to uncover more realistic features in exoplanet distributions (csun.uic.edu/codes/NFA.html)• Designed and organized a worldwide data challenge for the exoplanet and astrostatistics communities to quantify the "evidence" for n-planets in time series data (github.com/EPRV3EvidenceChallenge/Inputs/)Collaborated with exoplanet research teams at various institutes (University of Canterbury, University of Nevada Las Vegas)• Developed an efficient pipeline to compute quantitative evidences of competing orbital models (i.e., Bayes factors) for thousands of real and synthetic Doppler time series dataAdvised one graduate and two undergraduate students who worked on publishable research projects• http://adsabs.harvard.edu/abs/2018ApJ...867...75DInvited to and participated in grant selection committees at NU and NASAFounded and organized efforts to enhance data science activities at NU• Maintained a university-wide listserv of data scientists• Led data science/Python hacking events aimed at NU undergraduate and graduate students• Wrote a matching algorithm for a penpal program that connects elementary school students from underrepresented backgrounds in science to university scientists. Achieved ~10^6 speedup over a manual matching process.
  • The Pennsylvania State University
    Graduate Research Assistant
    The Pennsylvania State University Aug 2013 - Aug 2015
    University Park, Pa, Us
    Led two analyses of dynamically complex multi-planet systems• Estimated the planet masses and orbital parameters using our homebrewed differential evolution Markov chain Monte Carlo (C++/CUDA) applied to their star's Doppler observations• Determined if each orbital model was dynamically stable using the MERCURY integrator (Fortran)Wrote an importance sampling algorithm (Python, numpy) to compute the Bayesian evidence for n-planets in data: github.com/benelson/FMLWorked with other local exoplanet research teams and coauthored papers with themTeaching assistant for a summer session on Bayesian Computing for Astronomical Data Analysis: http://astrostatistics.psu.edu/su14/program.htmlScience organizing committee member of Emerging Research in Exoplanet Science Symposium 2015: http://eres-symposium.org/
  • University Of Florida
    Graduate Research Assistant
    University Of Florida Jul 2009 - Aug 2013
    Gainesville, Florida, Us
    Developed code in C++ for a differential evolution Markov chain Monte Carlo applied to exoplanet observations and wrote a CUDA version that attained ~5x speedup over the OpenMP versionRegularly sent batch jobs to UF's supercomputing cluster HiPerGator and later analyzed 100+ GB worth of resultsPromoted UF and NASA funded research at various conferencesTaught and developed materials for astronomy courses• teaching assistant for intro astronomy class (4 semesters)• guest lecturer for undergraduate/graduate level exoplanets class• guest author for astrobites.comDepartment webmaster for 1 year

Ben Nelson Skills

Extrasolar Planets Planetary Dynamics Bayesian Statistics High Performance Computing Scientific Computing Unix C++ Perl Latex Fortran Mathematical Modeling Statistics Astronomy Python Research Python

Ben Nelson Education Details

  • Penn State University
    Penn State University
    Astronomy And Astrophysics
  • University Of Florida
    University Of Florida
    Astronomy
  • University Of Florida
    University Of Florida
    Astronomy
  • University Of California, Santa Cruz
    University Of California, Santa Cruz
    Physics (Astrophysics)

Frequently Asked Questions about Ben Nelson

What company does Ben Nelson work for?

Ben Nelson works for Chan Zuckerberg Initiative

What is Ben Nelson's role at the current company?

Ben Nelson's current role is Senior Data Scientist at Chan Zuckerberg Initiative.

What is Ben Nelson's email address?

Ben Nelson's email address is bn****@****erg.com

What schools did Ben Nelson attend?

Ben Nelson attended Penn State University, University Of Florida, University Of Florida, University Of California, Santa Cruz.

What skills is Ben Nelson known for?

Ben Nelson has skills like Extrasolar Planets, Planetary Dynamics, Bayesian Statistics, High Performance Computing, Scientific Computing, Unix, C++, Perl, Latex, Fortran, Mathematical Modeling, Statistics.

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