Ben Smith Email & Phone Number
@uoregon.edu
3 phones found area 323 and 213
LinkedIn matched
Who is Ben Smith? Overview
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Ben Smith is listed as Member of Technical Staff (AI Evals) at P-1 AI, a with 218112 employees, based in Eugene, Oregon, United States. AeroLeads shows a work email signal at uoregon.edu, phone signal with area code 323, 213, and a matched LinkedIn profile for Ben Smith.
Ben Smith previously worked as Research Scientist (via Volt Workforce Solutions) at Apple and Scientific Advisor at Fibo. Ben Smith holds Doctor Of Philosophy (Phd), Psychology, 3.97 from University Of Southern California.
Email format at P-1 AI
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AeroLeads found 1 current-domain work email signal for Ben Smith. Compare company email patterns before reaching out.
About Ben Smith
I have experience as an industry data scientist and UX Researcher. Currently, I am a postdoctoral researcher in psychology and neuroscience, researching the neural representation of value and decision-making using fMRI in a healthy eating context. I am also interested in multi-objective modeling in humans and in AI modeling of human preferences. I love to hear from folks with overlapping interests so feel free to send a message through if any of those interests resonate.
Listed skills include Research, Programming, Javascript, Public Speaking, and 30 others.
Ben Smith's current company
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Ben Smith work experience
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Research Scientist (Via Volt Workforce Solutions)
Current
Scientific Advisor
Current
Research Scientist
Current- Led several research projects including a chatbot integrating OpenAI GPT-4, AWS, and heroku which demonstrated therapeutic alliance between participants and the chatbot therapist (see live on Telegram @CoachRecovery) - Machine learning using scikit-learn to identify individual difference predictors in two NIH-funded datasets. Data analysis of more than 500 fMRI sessions with python machine learning approaches including hyperparameter tuning, model selection, and cross-validation. - Successfully led data collection from 2,000 participants in a self-report survey with embedded A/B test design, identifying effective new ways to induce behavior change and reduce smoking craving along in at-risk vulnerable populations with relevant mechanisms of action - Published several research papers on AI describing balancing of multiple of objectives in RL agents - Designed a linear computational model of reward prediction error connecting neural activity to behavior and published the results in a leading neuroscience - Led a lunch discussion series on deep learning research and taught classes on Motivation and Emotion and Scientific Writing
Ml Alignment Theory Scholar (Governance Track)
Planning cognitive Evals for frontier Ai
Data Scientist
For Auckland International Airports Limited: - Shaped government policy by presenting a Covid-19 model to the Ministry of health; recommendations we made were adopted within a month of presenting the model to their team - The model was built in R and presented in an ambitious RShiny data visualization web app with data from external sources, available at https://bnanalysis.shinyapps.io/border_covid_assessment/ - We published a paper about the science behind our model in the New Zealand Medical JournalFor SapienX/ESP: Time series modeling to identify electricity waste by technology in an industrial settingFor Litmaps. Optimizing data import pipelines for natural language corpuses
Lead Data Scientist
- Demonstrated For Sale By Owner prices are comparable to For Sale By Agent and identified Time-To-Sell as the key advantage for Agent sales, using explainable AI to carry out a linear regression market study on 100,000 property sales- Built an ML model using R for homeowner Propensity to Sell using user data and property information to predict propensity to sell where identified properties had 5x higher likelihood of selling vs. baseline; time since last sale was identified as a leading predictor- Designed a Supply and Demand PowerBI dashboard describing nationwide market supply and demand based on website engagement data, drawing interest from a major public housing developer interested in predicting demand- Improved Automated Valuation Model for homes based on a scikit-learn LightGBM model from a dataset of 500,000 properties; quantified model variance and wrote a report summarizing model accuracy- Productionized a deep-learning based model for computer vision to classify uploaded images and taught an internal class on computer vision for software engineers.- Created a Product Adoption PowerBI Dashboard to track adoption of a new product released- Created an automated monthly “Property Report” using RMarkdown to describe property industry activity
Doctoral Student In Social Computational Psychology
In my work at the University of Southern California I have:- researched risky decision-making through analyses of fMRI data written in python and R- designed and ran surveys assessing social psychological theory in morality, culture, and decision-making - wrote a wrapper R package to integrate caret machine learning with neuroscience packages - used python to build a computational model of motivation in decision-making recently published in the Journal of Research and Personality - taught 4 lab sections of 20-30 undergraduate students each for PSYC201: The Science of Happiness and PSYC 165: Drugs, Behavior, and Society.- Published my work in Social Cognitive Affective Neuroscience, Neuroscience and Biobehavioral Reviews, and other outletsExpecting graduation July 2018
User Experience Research Intern
- collected and analyzed longitudinal data on user behavior from over 1 million users using HIVE SQL log analysis data mining, describing patterns of product engagement over the course of a yearran surveys on several thousand users about their attitudes toward the product- shared insight and made recommendations about improvements to the products which informed a major product revamp in 2016-2017.
Developer
Working within the software services team to develop a .NET platform services website. I took the lead roll as the primary developer and system designer in building a new version of our customer support website.
Software Services Consultant
I provided third-tier technical support to users of Vista’s software.
Graduate Teaching Assistant
I taught laboratory classes of 20-30 students for PSYCH108: Individual, Social, and Applied Psychology.
Summer Research Assistant
I used MATLAB to test simplified algorithms for modelling neuron networks in the respiratory system; our work resulted in a publication listed below.
Social Media Intern
I managed social media and other tasks including statistical analysis and facebook application development.
Foreign English Teacher
I taught Oral English as a second language in Nanjing, China, to 6 classes of 30-50 students each.
Developer
I began as an intern through an Auckland University programme; the company was known as Proximity ID at the time. I continued working here part-time throughout my time studying. My contributions include technical design, implementation, and administration of the planetstream.tv website.
It & Communications Manager
IT & Communications Manager, building a web site (PHP) and keeping company contacts up to date with company developments.
Developer And It Support
Customer support, C#.NE including HTML and JavaScript, Microsoft Access, and SQL Server administration.
Colleagues at P-1 AI
Other employees you can reach at apple.com. View company contacts for 218112 employees →
Rashid Anwer
Colleague at P-1 AiLucknow, Uttar Pradesh, India
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Bobby Harrison
Colleague at P-1 AiEl Paso, Texas, United States
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Kitawa Martin
Colleague at P-1 AiNairobi, Nairobi County, Kenya
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Sai Vishal Are
Colleague at P-1 AiHillsboro, Oregon, United States
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Adrian C.
Colleague at P-1 AiSan Jose, California, United States
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OR
Omar Rs
Colleague at P-1 AiXochimilco, Mexico City, Mexico
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Kevin Lopez
Colleague at P-1 AiSan Antonio, Texas, United States
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SR
Sherif Raschwan
Colleague at P-1 AiCairo, Egypt
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اسماء الثبيتي
Colleague at P-1 AiJiddah, Makkah, Saudi Arabia
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Dan Edgar
Colleague at P-1 AiGreater London, England, United Kingdom
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Ben Smith education
Doctor Of Philosophy (Phd), Psychology, 3.97
Master Of Science (Msc), Psychology, A
Bsc, Grad.Dip.Arts, Computer Science, Psychology, Philosophy
Education record
Psychology
Frequently asked questions about Ben Smith
Quick answers generated from the profile data available on this page.
What company does Ben Smith work for?
Ben Smith works for P-1 AI.
What is Ben Smith's role at P-1 AI?
Ben Smith is listed as Member of Technical Staff (AI Evals) at P-1 AI.
What is Ben Smith's email address?
AeroLeads has found 1 work email signal at @uoregon.edu for Ben Smith at P-1 AI.
What is Ben Smith's phone number?
AeroLeads has found 3 phone signal(s) with area code 323, 213 for Ben Smith at P-1 AI.
Where is Ben Smith based?
Ben Smith is based in Eugene, Oregon, United States while working with P-1 AI.
What companies has Ben Smith worked for?
Ben Smith has worked for P-1 Ai, Apple, Fibo, University Of Oregon, and Machine Learning Alignment Theory Scholars Program.
Who are Ben Smith's colleagues at P-1 AI?
Ben Smith's colleagues at P-1 AI include Rashid Anwer, Bobby Harrison, Kitawa Martin, Sai Vishal Are, and Adrian C..
How can I contact Ben Smith?
You can use AeroLeads to view verified contact signals for Ben Smith at P-1 AI, including work email, phone, and LinkedIn data when available.
What schools did Ben Smith attend?
Ben Smith holds Doctor Of Philosophy (Phd), Psychology, 3.97 from University Of Southern California.
What skills is Ben Smith known for?
Ben Smith is listed with skills including Research, Programming, Javascript, Public Speaking, Social Networking, Politics, Human Rights, and Data Analysis.
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