Sam Layton Email & Phone Number
Who is Sam Layton? Overview
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Sam Layton is listed as Researcher at Stanford Artificial Intelligence Laboratory (SAIL), a with 271 employees, based in Salt Lake City Metropolitan Area, United States. AeroLeads shows a matched LinkedIn profile for Sam Layton.
Sam Layton previously worked as AI Research Scientist at Sindarin - Conversational Ai Infrastructure and Machine Learning Researcher at Brigham Young University. Sam Layton holds Computational And Applied Mathematics, 4.0 from Brigham Young University.
Email format at Stanford Artificial Intelligence Laboratory (SAIL)
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About Sam Layton
A Machine Learning PhD candidate and part-time Deep Learning researcher at Brigham Young University.Coming from both an economics and applied mathematics background, I specialize in price-model optimization, business strategy, statistical modeling and inference, and supporting executive management. These interdisciplinary skills enable me to serve as the "technical bridge" between business-minded executives and detail-oriented experts.My research in Academia involves the design and testing of innovative machine learning algorithms, simplifying partial differential equation approximations for faster simulations in quantum computing, and developing quant trading strategies from economic principles. My industry experience focuses on solving executive-level problems with modern machine learning and optimization techniques. Once implemented, these techniques resulted in real efficiency gains to the bottom line, verifiable in the accountant's ledgers. I am continually looking to innovate and improve efficiency on all levels of business operations.
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Sam Layton work experience
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Ai Research Scientist
Machine Learning Researcher
I lead a team of researchers in machine learning, developing a cutting-edge framework that improves how deep learning systems work by using advanced sampling methods to better understand cause and effect relationships. My new approach has consistently outperformed popular models like Random Forest, XGBoost, K-Nearest Neighbors, and Convolutional Neural Networks, delivering accuracy improvements of 5%-20%.I’ve tested my methods on a wide range of well-known datasets, including MNIST, Fashion, and MIMIC, where it consistently demonstrated superior results. Additionally, I’ve designed algorithms that run faster and more efficiently, reducing complexity from quadratic to logarithmic time, making predictions much quicker without sacrificing accuracy.
Quantum Computing Researcher
I developed a groundbreaking Python library that drastically sped up quantum simulations, reducing runtime from 12 hours to a mere fraction of a second (0.015 seconds). This innovation not only made simulations faster but also helped optimize cutting-edge quantum technology known as spin-photon interfaces, where I discovered efficiency improvements of 13% beyond what's currently known.In collaboration with MIT faculty, I contributed to published research in top scientific journals such as Optics Express and others, making a significant impact in the field of quantum computing.
Quantitative Finance Researcher
I improved the performance of a well-known investment strategy (momentum strategy) by boosting its Sharpe ratio—a key measure of risk-adjusted returns—by 44%. This was achieved by applying a new method using Fourier analysis to better manage risk. I validated the strategy's effectiveness by running extensive back-tests using financial data on a Linux supercomputer.Additionally, I successfully replicated results from a well-regarded trading strategy called "Expected Idiosyncratic Skewness" (Boyer 2009) and applied it to manage a $1.1 million student-led investment fund.
Machine Learning Engineer
I am the primary resource for executive-level business analytics. I work daily with Secuvant's CEO to create statistical models and solve cost optimization problems that directly impact company performance. Current outcomes include:1) Increased company-wide gross profit by 16.7% through price optimization models2) Designed and implemented a dashboard KPI system by strategizing with Secuvant CEO and other leaders3) Built statistical forecasting model and dashboards of projected revenue within 13% accuracy of actuals4) Generated over $300,000 in investment dollars through slide deck presentations and developing quantitative proforma models
Sales Department Manager
I had the responsibility to lead and grow our new sales division and accomplished the following:1) As team leader, we generated $7,500,000 in loans, accounting for 33% of company revenue 2) Managed and trained a team of 6 sales reps, fostering collaborative teamwork and leaderships skills3) Developed self-made sales pitch technique and spearheaded the training program for 30+ new hires
Business Development Assistant
As the first hire in this division, I was tasked with establishing all sales procedures and strategies to generate deals for our mortgage loan officers at a local level.1) Experimented to find the best approach when this had never been done before in the mortgage industry.2) Created a comprehensive dashboard in Excel to track team’s performance from sales data
Ceo And Founder
At age 16 I started my own car detailing company with repeat, high-end clientele. When I graduated high school the company had grown to:1) Making over $25,000 in revenue 2) Employeed 7 detailers in multiple teams that I managed simultaneouslyI learned supply chain management, leadership and management skills, customer relations, sales, and a thirst for innovation and efficiency.
Sam Layton education
Computational And Applied Mathematics, 4.0
Economics, 3.99
Frequently asked questions about Sam Layton
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What company does Sam Layton work for?
Sam Layton works for Stanford Artificial Intelligence Laboratory (SAIL).
What is Sam Layton's role at Stanford Artificial Intelligence Laboratory (SAIL)?
Sam Layton is listed as Researcher at Stanford Artificial Intelligence Laboratory (SAIL).
Where is Sam Layton based?
Sam Layton is based in Salt Lake City Metropolitan Area, United States while working with Stanford Artificial Intelligence Laboratory (SAIL).
What companies has Sam Layton worked for?
Sam Layton has worked for Stanford Artificial Intelligence Laboratory (Sail), Sindarin - Conversational Ai Infrastructure, Brigham Young University, Center For Quantum Networks, and Byu Silver Fund.
How can I contact Sam Layton?
You can use AeroLeads to view verified contact signals for Sam Layton at Stanford Artificial Intelligence Laboratory (SAIL), including work email, phone, and LinkedIn data when available.
What schools did Sam Layton attend?
Sam Layton holds Computational And Applied Mathematics, 4.0 from Brigham Young University.
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