Chris Diehl, Ph.D. work email
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Chris Diehl, Ph.D. personal email
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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!
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PrincipalLightfieldNew Mexico, United States -
Researcher And ConsultantLightfield Mar 2019 - PresentHow 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. -
Science AdvisorMotiva Ai Mar 2019 - PresentReno, Nevada, Us -
Co-Founder And CtoMotiva Ai Jan 2016 - Feb 2019Reno, Nevada, UsMotiva’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. -
CaregivingCareer Break Jan 2022 - Dec 2023
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FellowThe Rsa (Royal Society For The Encouragement Of Arts, Manufactures And Commerce) Apr 2019 - Apr 2021London, Gb -
AdvisorTable Tribes Jul 2013 - Mar 2019
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Co-Founder And PartnerThe Data Guild Jul 2013 - Feb 2019San Francisco, California, UsThe 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. -
AffiliateJhu Human Language Technology Center Of Excellence Jan 2010 - May 2016Baltimore, Md, UsParticipated as a team leader in the 2010 Summer Camp for Advanced Language Exploration (SCALE) workshop focused on all-source knowledge base population. -
Principal Data ScientistJive Software Jun 2011 - Jul 2013Austin, Texas, UsDeveloped new concepts for advanced search and sensemaking within the Jive platform. Deployed an interactive cueing mechanism for uncovering emergent team interaction in Jive communities. -
Senior Research ScientistLawrence Livermore National Laboratory Sep 2009 - May 2011Livermore, Ca, UsDeveloped 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. -
AdvisorProximal Labs Aug 2010 - Mar 2011
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Assistant Research Professor, Department Of Electrical And Computer EngineeringJohns Hopkins University Jun 2004 - Jun 2009Baltimore, Md, UsOne 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. -
Senior Research ScientistJohns Hopkins Applied Physics Laboratory Feb 2001 - Jun 2009Laurel, Maryland, UsAs 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. -
Utap ScholarDefense Intelligence Agency Aug 1991 - Dec 2000Washington, D.C., UsReceived a full scholarship to attend Carnegie Mellon. During the summers between my undergraduate years, I served in several positions throughout the Intelligence Community. -
Research AssistantCarnegie Mellon University 1996 - 2000Pittsburgh, Pa, UsMy 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
Chris Diehl, Ph.D. Education Details
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Carnegie Mellon UniversityElectrical And Computer Engineering -
Carnegie Mellon UniversityElectrical And Computer Engineering -
Carnegie Mellon UniversityElectrical And Computer Engineering -
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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