Maurizio DiMauro

Professional Experience

President & CEO – Transmentis, Inc.

[Industry: Management and Leadership Consulting – AI, Machine Learning (ML), Automatic ML (AutoML), Data Science and related] March 2008 – Current

AI / ML / DS leadership consulting and advisement practice since 2008 (some roles were through W-2) consisting of contractual, tactical and distributed teams, creation of local client-side teams and management consulting / advisement of existing teams, with my main role developing, overseeing and leading the following elements for corporate and other clients of varied sizes and industries:

• Strategy, team creation, scaling, structuring, executive / operational leadership and mentoring

• Full data and data science lifecycle/pipeline oversight and direction: from data sourcing, prepping, wrangling and ETL to detailed feature engineering, explainable model development and deployment (e.g., web services) – emphasis: model selection and validation founded on probabilistic, frequentist and universal scientific modeling principles

• Cross-functional (high level and hands-on) Leadership in AI / ML / AutoML / DS capabilities development and operations, product and pre-sales management, data and software engineering development cycles (typically agile methodology and DS-related), broad consulting/advisement, business process development, general fundamental data modeling advisement and thought leadership, model validation, and related

• Leadership domain examples: creation and structuring of Data Science / Analytics practice from the ground up for 3k employee company; development of medical reference lab data science methodologies and data and business strategy; business model dev and data modeling techniques with team scaling / structuring / operations for the healthcare industry; personalized palate modeling and go-to-market strategy for wine retail sales; machine learning based throughput optimization strategies and machine vision automation for acoustical sensor manufacturing; various startup clients; mobile, on-demand image processing analytics solutions for social sharing application; modeling and interpretation of cortical tissue electrical conductivities for medical imaging [Sample clients: Ciklum, Symphony Acoustics, Los Alamos National Labs / COMPA, Tricore Reference Laboratories, Shafer Systems, Cause Labs, UCLA, various startups and more]

VP of Artificial Intelligence / Director of Data Science – Change Healthcare (San Francisco Bay area)

[Industry: B2B Healthcare tech-enabled services with patient data/PHI access] Nov 2017 – July 2018

• Team Leadership – (Reported to Chief AI Officer, under the CEO) Led strategy and operations (Machine Learning

+ AI/Deep Learning, NLP + general modeling, AutoML / H2O Driverless AI) that produced multi-million dollar revenue-generating projects by way of automating, improving and expanding client services, generally consisting of the “back end” of the healthcare market (transactions, billing/coding, patient journey, ER admissions, ...)

• Team Scaling & Revamping – full development of role profiles and strategy to attract key DS personnel in strategically important specialties in DS; spearheaded successful candidate screening and interviewing approaches and operations; was instrumental in doubling the size of the successful AI team

• Operations Cross-functional Leadership – Designed and implemented critical AI related team operational processes––such as strategic hiring, bespoke team structures, tailored project execution cycles and pipelines (from development to deployment in AWS) and training / mentoring programs; full data / data science life cycle oversight: from data sourcing / ETL to model development and model deployment; defined mission relevant use cases and projects by leveraging multiple business units representing myriad services and functions

• Mentoring and Coaching – defined and fostered successful Data Science philosophies and approaches that led to critical IP creation and project executions (PHI, patient-level predictive models); bridged gaps between healthcare experts and Data Scientists to enable more effective collaboration and communication for better solution discovery

• Thought Leadership – full spectrum leadership central to team and company success into AI venture, from topics such as project definition and scoping, data engineering, scientific inquiry / modeling / real-world validation, model 1 of 4 M. DiMauro

Successes include: leadership resulting in multi-million dollar outcomes incl. startup funding, operations savings, services and product revenues; authorship in seminal publications and patents; 2016 Physics Breakthrough Prize co-laureate

• Building and leading AI / ML / AutoML / Data Science capabilities for varied businesses, incl. in-house and external consulting

• Original background in highly quantitative and scientific fields, incl. Physics, Mathematics, Molecular Biology

• Strong record of outcome, innovation and recognition, incl. in rapidly scaling environments and investor-backed companies

• Cross-functional (local and remote) team creation and management in varied industries Executive – Artificial Intelligence • Machine Learning • Data Science

adgxy6@r.postjobfree.com pilot testing, deployment / production to model maintenance Principal Data Scientist – Think Big Analytics, A Teradata Company

[Industry: Data Science, IT and related Management Consulting / Managed Services] Aug 2016 – Oct 2017

• Pre-sales Team Leadership (Data Science Practice Lead) – projects P&L; regular direct client engagements to win recurring contracts worth 150-450k with Fortune 500 companies; defined effective comprehensive guide to client pre-sales engagement/triage/assessment best practices for pre-sales and sales teams

• Team Scaling – spearheaded hiring to build out small world class geographically distributed team of Data Scientists under my direction; fostered atmosphere of collaboration, accountability, appreciation and reward to sustain good morale and retain top talent

• Mentoring and Coaching – designed, initiated and ran internal training/co-mentoring program that improved DS competence and overall consulting practice viability; coached individual employees on advanced concepts and techniques that led to new engagement successes

• Thought Leadership – prescribed and fostered winning DS approach philosophies and practices for best customer outcomes; developed / expanded the Americas practice as well as contributed to the thought leadership and development of Teradata's overall Data Science / Advanced Analytics practice Senior Consultant, Data Science – Computer Sciences Corporation

[Industry: Data Science, IT and related Management Consulting / Managed Services] June 2014 – January 2015

• Multi role position including analytics advisement / solutions, shape engagements, use case demo development, analytics platform development, pre-sales

• Monetization Strategy and Procurement Analytics use cases––worked closely with domain expert to conceive and develop tangible business solutions utilizing Big Data computing technologies and platforms; pre-sales research advisor

• Co-developed Procurement Analytics proposal for Fortune 500 company

• Shaped engagements and pre-engagements with major healthcare organizations and conducted pre-engagement due diligence market research

• Developed Big Data use case demo applications in the areas of retail and social media analytics Physicist – Los Alamos National Laboratory

[Industry: Science laboratories, applied Machine Learning, hardware control] June 2010 – January 2012

• Optimization and control analytics advisement and solutions for scientific applications

• Designed and developed fully automatic tuning and optimization algorithms for Superconducting Quantum Interference Devices in Ultra Low Field Nuclear Magnetic Resonance research Senior Research Scientist – VeraLight, Inc.

[Industry: Medical devices with applied Machine Learning] May 2006 – February 2008

• Data Science Lead for predictive data modeling consumer and medical product

• Machine Learning leadership R&D in non-invasive diabetes mellitus type II detection

• Produced key results for securing Series B funding of $17M by developing and implementing disease detection models (e.g., binary classification & clustering), key analyses, original techniques and intellectual property Principal Scientist – Virtual Intelligence Applications, Inc. & Alo Groups

[Industry: Applied Artificial Intelligence consulting] May 2004 – March 2006

• Systems Analytics and Modeling Algorithms

• Led the development of laser modeling software – R&D lead for temporary consortium of companies

• Co-authored application for successful $25M cap research 5-year grant contract from Air Force Research Laboratories

Physicist – University of New Mexico

July 2001 - May 2004

• Various positions and research duties within the university, mostly as staff but also briefly as graduate student

• Efforts in theoretical, experimental and computational physics and simulations [e.g., neutrino/particle physics, acoustics, medical physics]

• Numerical solutions of partial differential equations, optimization algorithms development, measurement automation design and implementation, and instrumentation Machine Learning Physicist – Sandia National Laboratories October 2000 – June 2001

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• Algorithms development for Machine Learning/AI applications

• Co-authored successful proposal for internal research funding Scientific Software Consultant – Huntington Memorial Research Institutes November 1999 – October 2000

• HMRI Epilepsy and Brain Mapping Center

• Produced critical preliminary results for successful NIH grant proposal dossier and peer-review journal article on the topic of magnetic and electric brain seizure localization and co-registration techniques for HMRI’s Epilepsy and Brain Mapping Center

Physics Research Assistant – University of New Mexico/Barbara Ann Karmanos Cancer Institute September 1999 – January 2000

• Implemented and co-developed experimental prototype (instrumentation and software) for measuring human tissue conductivity for cancer detection

Distributed Analytics Technologies / Tools

Significant Past Hands-on Experience (last used 2014): Hadoop/HDFS, Map/Reduce, ElasticSearch, Kibana Meaningful Exposure (mostly in executive capacity): TensorFlow, Word2Vec, H20 Driverless AI (AutoML), Prodigy, Eureka, YARN, Spark, Kafka, Pig/Hive, Impala, Kerberos, Zookeeper, Flume, Sqoop, Oozie, Zabbix, Storm/Trident, HBase, S3 (of Amazon Web Services), Trifacta (data prep/munging tool) Selected Programming Languages Experience (14 years professionally: 2000-2014) Matlab, LabVIEW, Objective-C, C/C++, Ruby, Python, SQL Fluent Spoken/Written Languages

English, Italian

Patents

Determination of a measure of a glycation end-product or disease state using tissue fluorescence United States and Worldwide Patents: US 200******** A1, WO 200-***-**** A2, WO 200-***-**** A3 Publications

Offense of Reason: Discerning Truth from Dissembling Narratives Daelan Draco Press, 2020. ISBNs: 978-1-7357568-3-7, 978-1-7357568-0-6. Variable Anisotropic Brain Electrical Conductivities in Epileptogenic Foci (Acknowledgement) BRAIN TOPOGRAPHY; 2010 September; 23(3): 292–300. 2010 Electrical Conductivities of the Freshly Excised Cerebral Cortex in Epilepsy Surgery Patients; Correlation with Pathology, Seizure Duration, and Diffusion Tensor Imaging (Acknowledgement) BRAIN TOPOGRAPHY, Volume 18, Number 4, Summer 2006 High sensitivity search for electron antineutrinos from the sun and other sources at KamLAND PHYSICAL REVIEW LETTERS, Feb 20;92(7):071***-****

A Model for Frequency Dependence of Conductivities of the Live Human Skull BRAIN TOPOGRAPHY; FAL 2003; v.16, no.1, p.39-55 2003 First Results from KamLAND: Evidence for Reactor Anti-Neutrino Disappearance PHYSICAL REVIEW LETTERS December 9, 2002

Conductivities of Three-Layer Live Human Skull

BRAIN TOPOGRAPHY v. 14(#3) pp. 151-167 SPR 2002

Dipole localization of human induced focal after-discharge seizure in simultaneous magnetoencephalography and electrocorticography

BRAIN TOPOGRAPHY; WIN 2001; v.14, no.2, p.101-***-**** Measurements of nonlinear refraction in the second order materials KTiOPO4, KNBO3, beta-BaB2O4, and LiB3O5 (Acknowledgement)

OPTICS COMMUNICATIONS 1997

Honors and Awards

2016 Breakthrough Prize in Fundamental Physics – breakthroughprize.org/Laureates/1/L154 For contributions to investigations into antineutrino oscillations as part of the KamLAND collaboration. 1997 National Science Foundation, Research Experience for Undergraduates Award 3 of 4 M. DiMauro

Nationally competitive paid research internship at Los Alamos National Laboratory. 1996 Department of Energy, Undergraduate Research Semester Award Nationally competitive summer research internship program award at the University of New Mexico, Albuquerque. 1996 College Reading and Learning Association, Advanced Tutor Award (Physics, Chemistry). Education

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University of Miami – Biology

Bachelor of Science 1994

University of New Mexico – Physics

• Bachelor of Science, Cum Laude 2000

• Master of Science equiv. (PhD program) 2004

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