Chris Diehl, Ph.D.

Chris Diehl, Ph.D. Email and Phone Number

Principal @ LightField
New Mexico, United States
Chris Diehl, Ph.D.'s Location
Albuquerque-Santa Fe Metropolitan Area, United States, United States
Chris Diehl, Ph.D.'s Contact Details

Chris Diehl, Ph.D. work email

Chris Diehl, Ph.D. personal email

Chris Diehl, Ph.D. phone numbers

About Chris Diehl, Ph.D.

For over twenty years, I have explored ways to design intelligent platforms that extend human capabilities to perceive and act in the presence of increasing complexity. My early career focused on basic and applied machine learning research in the service of addressing complex national security challenges. Now my passion and focus are directed at defining and building data-driven platforms to help scale the global regenerative agriculture movement. The dual existential threats of climate change and global ecosystem collapse require us to change course in unprecedented ways prior to 2030. What we do now will dictate the future of life on our planet for generations to come. We need to support collective learning and action at a massive scale. Let us create the investment opportunities that enable orders of magnitude more impact capital to flow into regeneration of the land. Our future depends on it!

Chris Diehl, Ph.D.'s Current Company Details
LightField

Lightfield

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Principal
New Mexico, United States
Website:
lightfield.ag
Employees:
1
Chris Diehl, Ph.D. Work Experience Details
  • Lightfield
    Principal
    Lightfield
    New Mexico, United States
  • Lightfield
    Researcher And Consultant
    Lightfield Mar 2019 - Present
    How do we design responsive geospatial sensemaking tools for envisioning regenerative pathways toward thriving landscapes that support human and planetary health? Holding this level of complexity is impossible without tools and processes that enable rich multi-stakeholder collaboration. My focus is on building technology prototypes to identify where there is opportunity to dramatically change the way we envision possibilities and coordinate action to turn such visions into reality.
  • Motiva Ai
    Science Advisor
    Motiva Ai Mar 2019 - Present
    Reno, Nevada, Us
  • Motiva Ai
    Co-Founder And Cto
    Motiva Ai Jan 2016 - Feb 2019
    Reno, Nevada, Us
    Motiva’s mission is bringing people together through trusted marketing conversations. Our team is deeply experienced in artificial intelligence, analytics, and large-scale data mining, which we bring together in beautiful design to create a new class of solutions for marketing and customer engagement. We use cutting-edge machine learning to automatically tune B2B and B2C marketing campaigns to audiences, and finding new, engaged audience populations. By listening carefully and learning from customer behavior, our solutions help marketing teams achieve more with less, and makes the entire marketing operation more effective. Motiva’s custom, proprietary machine learning platform is setting a new standard of performance in AI.
  • Career Break
    Caregiving
    Career Break Jan 2022 - Dec 2023
  • The Rsa (Royal Society For The Encouragement Of Arts, Manufactures And Commerce)
    Fellow
    The Rsa (Royal Society For The Encouragement Of Arts, Manufactures And Commerce) Apr 2019 - Apr 2021
    London, Gb
  • Table Tribes
    Advisor
    Table Tribes Jul 2013 - Mar 2019
  • The Data Guild
    Co-Founder And Partner
    The Data Guild Jul 2013 - Feb 2019
    San Francisco, California, Us
    The Data Guild works with clients to develop data products addressing critical information needs. By leveraging a network of world-class scientists, engineers and designers, we bring deep experience and varied perspective to each engagement. We focus on helping clients frame high-impact data problems, identify and characterize data opportunities, prototype transformative data products, and scale the resulting solutions to deliver enduring value.
  • Jhu Human Language Technology Center Of Excellence
    Affiliate
    Jhu Human Language Technology Center Of Excellence Jan 2010 - May 2016
    Baltimore, Md, Us
    Participated as a team leader in the 2010 Summer Camp for Advanced Language Exploration (SCALE) workshop focused on all-source knowledge base population.
  • Jive Software
    Principal Data Scientist
    Jive Software Jun 2011 - Jul 2013
    Austin, Texas, Us
    Developed new concepts for advanced search and sensemaking within the Jive platform. Deployed an interactive cueing mechanism for uncovering emergent team interaction in Jive communities.
  • Lawrence Livermore National Laboratory
    Senior Research Scientist
    Lawrence Livermore National Laboratory Sep 2009 - May 2011
    Livermore, Ca, Us
    Developed a multi-institution collaborative research program investigating the fundamentals of linguistic style matching in social media and how such indicators relate to relative social status.
  • Proximal Labs
    Advisor
    Proximal Labs Aug 2010 - Mar 2011
  • Johns Hopkins University
    Assistant Research Professor, Department Of Electrical And Computer Engineering
    Johns Hopkins University Jun 2004 - Jun 2009
    Baltimore, Md, Us
    One of ten JHU/APL staff members selected by APL and the Whiting School of Engineering to spearhead an initiative aimed at developing stronger collaboration between APL and the engineering departments. Engaged in research on exact incremental support vector machine learning, efficient exact and approximate cross-validation methods and sparse kernel machine learning.
  • Johns Hopkins Applied Physics Laboratory
    Senior Research Scientist
    Johns Hopkins Applied Physics Laboratory Feb 2001 - Jun 2009
    Laurel, Maryland, Us
    As a member of the Milton Eisenhower Research Center, my role was to identify opportunities to make transformational impacts on government sponsor problems and develop research programs to meet those challenges. The problems I engaged in with colleagues had machine learning challenges at their core by design, ranging from video surveillance and acoustic signal classification to social network analysis from social media sources. My work with APL colleagues under Office of Naval Research sponsorship resulted in deployed systems fielded in under five years and sustained R&D funding in related areas impacted by our findings.
  • Defense Intelligence Agency
    Utap Scholar
    Defense Intelligence Agency Aug 1991 - Dec 2000
    Washington, D.C., Us
    Received a full scholarship to attend Carnegie Mellon. During the summers between my undergraduate years, I served in several positions throughout the Intelligence Community.
  • Carnegie Mellon University
    Research Assistant
    Carnegie Mellon University 1996 - 2000
    Pittsburgh, Pa, Us
    My master's research with Jim Hoburg and Dan Stancil focused on modeling electromagnetic wave propagation in buildings for wireless LAN propagation prediction. Dan and I also made the first measurements of the benefits of using a building's HVAC system for efficient indoor propagation. Our initial concept for retrofitting existing HVAC systems for wireless LAN signals resulted in a patent and future research demonstrating the feasibility of data rates in excess of 100 MBits/sec. My Ph.D. research with John Hampshire and Pradeep Khosla focused on statistical machine learning techniques for real-time object classification and novelty detection. Mahesh Saptharishi and I developed the video surveillance algorithms deployed on the CyberATV semi-autonomous all-terrain vehicles developed for DARPA.

Chris Diehl, Ph.D. Skills

Machine Learning Algorithms Natural Language Processing Artificial Intelligence Data Mining Python Social Network Analysis Research Computer Science Hadoop Pattern Recognition Information Retrieval Software Engineering Distributed Systems Latex High Performance Computing Data Analysis Apache Pig Information Extraction Gephi Computational Linguistics Mapreduce Statistics

Chris Diehl, Ph.D. Education Details

  • Carnegie Mellon University
    Carnegie Mellon University
    Electrical And Computer Engineering
  • Carnegie Mellon University
    Carnegie Mellon University
    Electrical And Computer Engineering
  • Carnegie Mellon University
    Carnegie Mellon University
    Electrical And Computer Engineering
  • Thomas Jefferson High School For Science And Technology
    Thomas Jefferson High School For Science And Technology

Frequently Asked Questions about Chris Diehl, Ph.D.

What company does Chris Diehl, Ph.D. work for?

Chris Diehl, Ph.D. works for Lightfield

What is Chris Diehl, Ph.D.'s role at the current company?

Chris Diehl, Ph.D.'s current role is Principal.

What is Chris Diehl, Ph.D.'s email address?

Chris Diehl, Ph.D.'s email address is cp****@****ail.com

What is Chris Diehl, Ph.D.'s direct phone number?

Chris Diehl, Ph.D.'s direct phone number is +165055*****

What schools did Chris Diehl, Ph.D. attend?

Chris Diehl, Ph.D. attended Carnegie Mellon University, Carnegie Mellon University, Carnegie Mellon University, Thomas Jefferson High School For Science And Technology.

What skills is Chris Diehl, Ph.D. known for?

Chris Diehl, Ph.D. has skills like Machine Learning, Algorithms, Natural Language Processing, Artificial Intelligence, Data Mining, Python, Social Network Analysis, Research, Computer Science, Hadoop, Pattern Recognition, Information Retrieval.

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