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Dan Hallstrom Email & Phone Number
Head of Artificial Intelligence and Machine Learning
at
Manifold
1 work email found
@digintent.com
2 phones found area 646 and 240
LinkedIn matched
✓ Verified May 2026
4 data sources
Profile completeness 100%
Current company
Role
Head of Artificial Intelligence and Machine Learning
Location
Kalispell, Montana, United States
Company size
Who is Dan Hallstrom? Overview
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Quick answer
Dan Hallstrom is listed as Head of Artificial Intelligence and Machine Learning at Manifold, a company with 39 employees, based in Kalispell, Montana, United States. AeroLeads shows a work email signal at digintent.com, phone signal with area code 646, 240, and a matched LinkedIn profile for Dan Hallstrom.
Dan Hallstrom previously worked as Director of Data and Analytics at Digital Intent and Director Of Analytics at Elynx Technologies. Dan Hallstrom holds Doctor Of Philosophy (Phd), Agricultural And Resource Economics from University Of California At Davis.
Company email context
Email format at Manifold
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{first}.{last}@digintent.com
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Profile bio
About Dan Hallstrom
Professional data scientist and analytics team leader with extensive experience in the end to end design, development, and production implementation of analytical solutions to business challenges. Proficient in statistical modeling, stochastic dynamic optimization, risk management, and empirical microeconomic analysis. Proven history in leading complex analytical projects through to a successful completion, clearly communicating analytical approaches and trade-offs to non-specialists, and building mutual positions of trust and respect with clients.My career focus is designing the analytical architecture and leading data science teams through the production implementations of Probabilistic Machine Learning solution to business problems. I strongly believe that successful applications of analytics to complex, shifting business environments requires embedding domain knowledge and subject matter expertise directly within the analytical framework, and accounting for the fact that much of what we observe is in a state of continuous change. Data is information and monetizing it is only restricted by our creativity in its applications. My passion is going beyond simple prediction to understanding the hidden latent structure and, where applicable, causal mechanisms in the underlying data generating processes.
Listed skills include Data Analytics And Computational Methods, Econometrics, Applied Economics, Quantitative Risk Analysis, and 19 others.
Current workplace
Dan Hallstrom's current company
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Manifold
7 roles
Dan Hallstrom work experience
A career timeline built from the work history available for this profile.
Director Of Data And Analytics
Current
Aug 2019 - Present
Director Of Analytics
Elynx Technologies
- Responsible for analytic architecture, leadership of development and model validation teams, and client communications. Elynx products ingest streaming Industrial IOT data collected by SCADA systems into machine.
- Led multi-disciplinary team through the build and proof of concept field tests for a well optimization solution. The solution utilizes a digital twin approach where the structural parameters and latent variables of a.
- Led the analytic architecture, validation, and production implementation of a dynamical machine learning solution that prevents degradation in anomaly detection performance in the face of data drift and.
- Led the design and implementation of economic impact analyses for anomaly detection. Results from these analyses, vetted by extensive client feedback, show that advanced analytics in upstream oil and gas can save.
Aug 2017 - Jun 2019
Director
Price Waterhouse Cooper
- Business development and engagement director working within the Data and Analytics Hub and Power and Utilities Vertical. Directed the analytic architecture and implementation of Predictive Maintenance solutions in.
- Inventor and team lead for the design, analytical pilot code development, and final performance validation of an analytical solution to provide advanced warning of catastrophic failure and motor off events in.
- Directed a cross-disciplinary team implementing a commercial operations and risk management strategy for a global Fortune 500 energy company. The team was responsible for machine learning design and implementation.
- Created course curriculum and lead instructor for the beginning through advanced regression analysis series in the PWC academy. Taught these classes via webinar to a broad spectrum of PWC employees.
Jul 2015 - Aug 2017
Manager Of Quantitative Analytics
- Responsible for leading the complete analytic pipeline from product development through client implementation of portfolio management and commercial operations solutions in the energy space. Ascend’s product is a.
- Led the client implementations for five Fortune 500 energy companies.
- For a major European energy company, led the development and implementation teams building a statistical arbitrage and hedging platform.
- Designed a statistical emulator enabling a Fortune 500 merchant power company to compute near real time valuations of complex structured products backed by a physical portfolio of over 300 generation assets. This.
- Developed an industrial quality reinforcement learning algorithm to optimize cascading hydroelectric assets operating under complicated, stochastic constraints. This product has been used to provide valuations for.
- Developed a dynamic Bayesian graphical model for large dimensional day ahead and real time electricity price systems that is currently the default price engine for all enterprise risk management implementations of the.
Jan 2007 - Oct 2015
Outside Econometric Consultant
Econone Research
Conducted an econometric analysis of computer processing pricing to provide a quantitative damage estimate for fraudulent advertising. Results from this research were included as primary evidence in civil case.
May 2007 - Oct 2007
Assistant Professor
North Carolina State University
- Developed an internationally recognized research program in quantitative economics resulting in 11 peer reviewed publications and reports. Major research focus areas included:
- Structural estimation of commodity pricing models by embedding reinforcement learning solutions to stochastic dynamic storage optimization within an Approximate Bayesian Computation estimation framework. This empirical.
- Specification and development of statistical estimators of agent-based microeconomic models including household and market interactions. This algorithmic framework was used to fit a model of the entire San Diego metro.
- Developed econometric models to quantify household risk attitudes and market responses to catastrophe risk. Utilizing an extensive dataset on housing sales in Florida spanning hurricane Andrew we provided the first.
- Created course curriculum and taught microeconomics and international trade. Scored highest possible ranking for teaching effectiveness in graduate instruction.
- Directed three successfully defended Ph.D. dissertations on foreign direct investment, interest rate arbitrage, and endogenous economic growth.
Aug 1999 - Aug 2003
3 education records
Dan Hallstrom education
Doctor Of Philosophy (Phd), Agricultural And Resource Economics
University Of California At Davis
Master Of Science (Ms), Applied Economics
Montana State University
Bachelor Of Science (Bs), Agricultural Economics
Montana State University
FAQ
Frequently asked questions about Dan Hallstrom
Quick answers generated from the profile data available on this page.
What company does Dan Hallstrom work for?
Dan Hallstrom works for Manifold.
What is Dan Hallstrom's role at Manifold?
Dan Hallstrom is listed as Head of Artificial Intelligence and Machine Learning at Manifold.
What is Dan Hallstrom's email address?
AeroLeads has found 1 work email signal at @digintent.com for Dan Hallstrom at Manifold.
What is Dan Hallstrom's phone number?
AeroLeads has found 2 phone signal(s) with area code 646, 240 for Dan Hallstrom at Manifold.
Where is Dan Hallstrom based?
Dan Hallstrom is based in Kalispell, Montana, United States while working with Manifold.
What companies has Dan Hallstrom worked for?
Dan Hallstrom has worked for Manifold, Digital Intent, Elynx Technologies, Price Waterhouse Cooper, and Ascend Analytics.
How can I contact Dan Hallstrom?
You can use AeroLeads to view verified contact signals for Dan Hallstrom at Manifold, including work email, phone, and LinkedIn data when available.
What schools did Dan Hallstrom attend?
Dan Hallstrom holds Doctor Of Philosophy (Phd), Agricultural And Resource Economics from University Of California At Davis.
What skills is Dan Hallstrom known for?
Dan Hallstrom is listed with skills including Data Analytics And Computational Methods, Econometrics, Applied Economics, Quantitative Risk Analysis, Sas Programming, Optimization, Time Series Analysis, and Monte Carlo Simulation.
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