🦾Jepson Taylor

VEOX

VEOX Inc is revolutionizing the AI industry by creating an AI-driven algorithm factory, compressing decades of progress into moments. Our technology automates AI science research, continuously improving algorithm efficiency and outperforming human-made algorithms. VEOX is not just building another AI company; we're catalyzing an explosion of technological advancements that will reshape the entire tech landscape. Join us in accelerating intelligence beyond human limits and leading the next wave of AI breakthroughs.

CEO/founder VEOX

Artificial Intelligence Masterclass, NYU - Intellibus

FYI, I’ll be co-leading an AI Master Class for about 20 senior leaders at NYU’s School of Professional Studies in September and October!  We have a fantastic team of expert AI panelists too, and I’d love to have you join the program. If you’re keen then drop me a note and I’ll make sure a spot is saved for you.  Also, feel free to send this link onto others who will benefit from joining. This course will be the #1 AI course in the US for senior leaders and will change the way you think about AI and how we tackle its opportunities and threats. A big part of this course is the close collaboration between industry and academia. More info here: https://www.aimasterclass.com/

Contributing Faculty

AtomicSoul.ai

I love being the host for the Atomic Soul Podcast where I explore the very things driving humanity forward. This isn’t your average “AI is taking over our civilization” show - it’s something much more rare that’s sure to make you reevaluate your perspective on controversial topics. Each week we’ll hear from the world’s most interesting people, like corporate giant execs and people bending the mold. It’s at this very intersection of tech and the brain where we expand our consciousness.

Podcast Host

Dataiku

I will provide straightforward industry perspectives and insights, thought leadership on the future of AI, and share the stories and best practices of Dataiku’s growing enterprise customers. I will help accelerate the company’s strong recent momentum, including: 
Over 500 customers with 150+ on the Forbes Global 2000 list
95% customer retention rate with Forbes Global 2000 customers 
Industry recognition includes being named to the Forbes Cloud 100 and Forbes AI 50 lists, top 10 in the Data50, and Snowflake’s ML/AI partner of the year.  
Certification as a Great Place to Work, with 94% of Dataikers saying the company is a great place to work (compared to 57% of employees in a typical U.S.-based company)

You can’t have fun if the fundamentals aren’t working and I was impressed with Dataiku’s growth, enterprise customer count, customer satisfaction, and one collaborative platform. 

I want to work for a market leader and believe that Dataiku is indeed the leader that industry analysts and 500+ customers say they are and I want to invest my life force into this company. 

I am very excited about the next year, and my excitement has only continued to increase since joining. This company has the soul I was seeking.

Read more about my WHY here https://blog.dataiku.com/ben-taylor

Chief AI Strategist

DataRobot

As Chief AI Strategist at DataRobot, I work closely with our innovation team, marketing, sales, and product to ensure innovation is aligned with our product roadmap/strategy. I also help nurture strategic partnerships for the innovation team, can we combine like-minded visionaries to accelerate the future? Can we inspire the next generation by combining world-class innovation with brilliant storytelling? I love working with brilliant technologists and amplifying them with genius creatives. Magic happens between these two types of experts. Some of that work was showcased with our 10,000 cast piece which ended up being nominated for a Webby award. Very excited about what we have in the pipeline this year.

Artificial intelligence is already changing our world for the better. Unfortunately, too many homegrown projects are failing giving the rest of the industry a bad rap. Too many executives are naive to the opportunity. The gap of "do-ability" isn't being crossed in the mind of the business executive. AI should inspire, it should transform, everyone should wake up in the morning excited about what AI could do to automate their business and lift our society to new innovative heights.

Chief AI Evangelist

Zeff

co-founder, Chief AI Officer

Working crazy hours to deliver the world's best machine and deep learning to product companies with the least amount of effort. Our goal was to be easiest to use, but surprisingly we are winning on scalability, accuracy, and implementation time. If you need any machine learning in 2017/2018 reach out to see if you are a fit for our current offering. Great press to come.

co-founder & Chief Data Officer

HireVue

Building out HireVue's data science team with the talent needed to execute on our technical data roadmap. We currently have one of the best deep learning teams in the state and by next year it could be one of the top 10 deep learning teams in the country. I love the work we are doing, the opportunity we have, and the success we are seeing. Working with brilliant people is critical to job satisfaction and we have that at HireVue.

Chief Data Scientist

Is it possible to take something as unstructured and complicated as a digital interview and predict the quality of the candidate response? The answer is yes! Imagine what you can do with 100,000x more data than a resume. Leading HireVue's data science team to success on algorithm development for the HireVue insights IRIS product, a new data frontier for sure.

Principal Data Scientist

Metaheuristic Solutions LLC

Metaheuristic Solutions is a optimization consulting company with the world's leading metaheuristic optimization algorithm, the x algorithm. The new algorithm was developed by Ben Taylor and was made available in 2011.

Founder/CTO

IM Flash Technologies

Using Matlab, R, and Julia to develop multivariate and single variate models and analysis (MVA/UVA) for tool fault detection. These models are then used to shut down tools used in the semiconductor manufacturing process, notify stake holders, and mark up lots for real-time detection analysis (RDA). Projects also include building complex yield models from tool data and automating alarm rule setup as well as fab wide tool fingerprinting to identify rogue behavior even if alarms are not present.

I am also very busy on the web app side building PHP/Mysql wrappers to give engineers access to big data solutions. Hoping to switch soon to python/django/postgres. Also using custom built SQL queuing system that I designed on the backend to manage user loading for job requests.

Senior Data Scientist, Fault Detection

launchup.org

observer

I build stuff that doesn’t exist, an AI explorer. 
Unfortunately I have too many connections so please follow me instead. 

人工智能 (Chinese)
人工知能 (Japanese)
कृत्रिम बुद्धिमत्ता (hindi)
الذكاء الاصطناعي (Standard Arabic)
কৃত্রিম বুদ্ধিমত্তা (Bengali)
искусственный интеллект (Russian)

I watch the watchers, I direct the learners. 

I am passionate about machine learning. My life's mission is to further the boundaries of what is possible with data science. I spend as much time as I can working with deep learning, NLP, and all forms of data science. I currently have a passion project I am managing where I am combining the power of genetic programming with deep learning to automate network design. I think there is a trend happening in data science where human expertise and creativity are being replaced by powerful new methods (i.e. deep learning, big data). 

I am most well known for my machine learning work with the data science community and with HireVue. With the community, I enjoy posting opinions on jobs and tutorials on ML methods. I also enjoy speaking and presenting to all types of audiences. 

I've enjoyed working across engineering, product, sales, marketing, and customer success. This wider POV has helped shape the way I think about innovation, from the innovation farm to the customer's table ;)

Draper

- Machine learning and geospatial data analytics task lead for a team developing algorithms to provide insights on geotagged data.
- Developed pipeline to process and analyze behavioral and physio data. Leveraged MATLAB to developed data processing pipelines for the MASTR-E program which allowed data to be (batch) processed and analyzed, and produced reports that show performance of individuals partaking in field and lab studies.
- Mentored student co-ops/interns and cadets in MASTR-E  by generating short-term sprints and providing oversight and review in algorithm development.
- Led machine learning pipeline development for prediction utilizing both Python and MATLAB. This entailed pipeline cycle development consisting of researching and developing metrics, machine learning problem formulation, result/progress presentations.

Senior Machine Intelligence Scientist/Engineer: Machine Intelligence

- Generated a space GNC technology roadmap by investigating gaps in space GNC technologies, performing interviews, and developing a plan of solutions to fill the technological gaps.
- Collaborated with DARPA to help accelerate Manned-Unmanned Teaming (MUM-T) innovations by applying rigorous analysis to identify capability gaps, helping shape portfolio development, and identifying the current state-of-the-art technologies and needed developments to address the capability gaps.
- Developed state-space and frequency-based analysis tools in MATLAB to analyze stability of Dynetics Human Lander System as part of the NASA Artemis program, which showed effect of slosh stability influence when utilizing differential throttle over thrust vectoring control.
- Developed filtering algorithms in C++ and post-processing scripts in python for vision-based Skymark (celestial) systems (GPS denied inertial navigation systems), which achieved sub-100m accuracy on water-based vessels.
- Conceptualized and spearheaded the development of a prototype nonlinear control algorithm in C for autonomous Joint Precision Airdrop Systems (JPADS).
- Developed MATLAB scripts to analyzed control algorithms and stability of JPADS systems and investigate instabilities in the system.
- Developed python-based post processing tools for machine learning algorithms developed as part of JPADS S&T.
- Undertook development of detailed algorithm description documents while meeting project deadlines.
- Proposed system improvements, future directions, and presented status updates and recommendations to customers such as NASA, Dynetics, and US Army.
- Orchestrated seminar series where interesting topics on current projects and software were discussed.

Senior Robotics Researcher: Perception & Autonomy

University of Florida

- Conducted Research in the field of robotics and nonlinear controls.
- Led research related to autonomy via reinforcement learning, specifically using data-based learning methods for control such as online adaptive dynamic programming/approximate optimal control and concurrent learning.
- Performed research on learning-based control and estimation methods, and research related to stability of nonlinear robust, adaptive, and multi-agent systems.
- Published technical results in high standing journals such as IEEE Transactions on Neural Networks and Automatica.
- Aided in writing grants and brainstorming proposal ideas.

Graduate Research Assistant: Nonlinear Controls and Robotics Lab

- Graded Students quizzes and exams.
- Taught classes.

Graduate Teaching Assistant

Air Force Research Laboratory

- Performed research related to autonomy and control at the University of Florida Research and Engineering Education Facility while collaborating with AFRL researchers.

Summer Research Intern

Belcan Engineering; Control and Diagnostic Systems

- Wrote procedures for integration testing.
- Worked with a team of engineers to analyze Pratt and Whitney aircraft engine software.
- Performed verification and validation analysis on Next Generation Product Family (NGPF) engine software to make sure they met software requirements and project deadlines.
- Wrote informal scripts to test engine software.
- Reviewed other tests perform in verification and validation.
- Performed integration testing of engine software to makes sure it meets customer requirements.

Engineer

- Worked with a team of engineers to analyze Pratt and Whitney aircraft engine software.
- Performed verification analysis on NGPF engine software to make sure they met software requirements and project deadlines.

Engineer Intern

Central Connecticut State University

- Helped students with academic work.
- Guided students through problem solving.

Mechanical Engineering Tutor

Norgren KIP Fluid Controls

- Ran tests on prototype solenoid valves and manifolds.
- Troubleshot malfunctioning products.
- Provided production support for the assembly floor.
- Performed valve characterization to see how valve characteristics change with certain parameters.

Engineering Intern

Highly motivated and goal oriented professional who enjoys working in interesting and challenging environments, applying and learning new skills, and making an impact. Focused on learning and data-based methods in variety of applications. 

taplio

The Battle

🦾Jepson Taylor

Patryk Deptula, PhD

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