Daniel Mcmichael

Daniel Mcmichael Email and Phone Number

Chief Executive Officer @ Semantic Sciences Pty Ltd
Adelaide, SA, AU
Daniel Mcmichael's Location
Greater Adelaide Area, Australia, Australia
Daniel Mcmichael's Contact Details

Daniel Mcmichael work email

Daniel Mcmichael personal email

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About Daniel Mcmichael

I have had the good fortune to have two overlapping careers – in research and company leadership. Working with a treasured and excellent group of colleagues, I founded Semantic Sciences Pty Ltd in 2008 which spun off a much-loved child and Sintelix Pty Ltd in 2017. I am currently CEO of both companies.The key inspirations of my life are spirituality, creativity, positive communication and the wish to create lasting benefit. These are the areas where I wish to grow, learn and give back; they drive my passions: • Creating software products enabled by advanced algorithms • Creating wholistic work environments • Creating open effective organisations • Excellence in execution • High-impact philanthropyIn my earlier research career, I led the Business Intelligence and Information Analysis research groups in CSIRO, and before that was Research Leader, Data Fusion at the Cooperative Research Centre for Sensor Signal and Information Processing, based in Adelaide, Australia. I was educated at Oxford where I gained my MA and DPhil (PhD) degrees. I have held posts in University of Manchester, and as an Associate Professor at the University of South Australia.

Daniel Mcmichael's Current Company Details
Semantic Sciences Pty Ltd

Semantic Sciences Pty Ltd

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Chief Executive Officer
Adelaide, SA, AU
Daniel Mcmichael Work Experience Details
  • Semantic Sciences Pty Ltd
    Chief Executive Officer
    Semantic Sciences Pty Ltd
    Adelaide, Sa, Au
  • Sintelix Pty Ltd
    Chief Executive Officer
    Sintelix Pty Ltd Jul 2017 - Present
    Sintelix Pty Ltd creates and markets the Sintelix system for text and data analytics. Sintelix enables rapid and sophisticated analysis of unstructured data. It offers unparalleled information collection and extraction capabilities including: OSINT data collection and entity extraction at high accuracy in many languages. Vast quantities of unstructured data can be combined to create accurate entity networks linked to topic analyses and community structure. Sintelix is the most accurate entity recognizer for English on the market today. It provides a host of other capabilities including identity resolution, taxonomy creation, advanced search, link charting and timelines. And it is developing rapidly!
  • Semantic Sciences Pty Ltd
    Chief Executive Officer
    Semantic Sciences Pty Ltd Oct 2008 - Present
    Fullarton, South Australia, Au
    Semantic Sciences Pty Ltd delivers innovative AI-assisted software currently in the areas of grant management and outcome analysis. Its lead customers include the National Health and Medical Research Council of Australia and the Australian Department of Human Services.
  • Data To Decisions Crc
    Participant Representative
    Data To Decisions Crc 2014 - 2016
    Kent Town, Sa, Au
    I represent Semantic Sciences Research within D2D CRC.
  • Csiro - The Commonwealth Scientific And Industrial Research Organisation
    Senior Consultant (Level 8)
    Csiro - The Commonwealth Scientific And Industrial Research Organisation Jan 2000 - Oct 2008
    Acton, Act, Au
    I joined CSIRO to form the Business Intelligence Group. We began a long-term exploration of grammars and their application to language and other domains. In 2002 I won two large projects from Boeing in connection with the Australian AWACS system (Air 5077). These projects created and demonstrated the world's first mathematically coherent algorithm for Level 2 data fusion (based on a spatio-temporal grammar). We also developed a cognizant control room that constantly monitored the awareness of human controllers via their speech and actions and compared it with the system's situation picture so as to provide guidance and warnings. This work led to a series of projects on language technology with Boeing and resulted in the development of Functional Combinatory Categorial Grammar and the Sem@ntica suite of tools.
  • Cooperative Research Centre For Sensor Signal And Information Processing
    Research Leader Data Fusion
    Cooperative Research Centre For Sensor Signal And Information Processing Mar 1995 - Nov 1999
    At CSSIP I was principal investigator for fifteen research contracts, with topics that include land-mine detection, airborne early warning and control, situation assessment, Bayesian networks, fusion for submarine mission systems, bone fracture classification and prosthesis tracking. I supervised the construction of three major software packages, Spotter (multispectral target detection), Probanet (a Bayesian networks tool kit) and Tracker (a generalised tracking package). I had the opportunity to organise and contribute to short courses on various aspects of data fusion.
  • United Kingdom Defence Research Agency
    Senior Scientific Officer
    United Kingdom Defence Research Agency Jul 1992 - Feb 1995
    At DRA Malvern (which we like to remember by its more illustrious previous title - The Royal Signals and Radar Establishment) I worked on pattern processing and data fusion including projects on emitter location, visual inspection using decision theory and neural networks, Bayesian inference with Hough transforms, sequential modelling with Gaussian mixtures and optimising radial basis functions.
  • University Of Manchester Institute Of Science And Technology
    Lecturer
    University Of Manchester Institute Of Science And Technology Apr 1988 - Jun 1992
    I worked in the Control Systems Centre and taught real-time programming, real-time control, and neural networks at MSc level. My research focused on image processing for visual inspection (with BAe) and in applying neural networks to control. I developed BARTIN (Bayesian Real TIme Network) a method of for using neural networks for maximum utility decision making.
  • British Rail Engineering Limited
    Engineering Sponsored Student
    British Rail Engineering Limited 1979 - 1983
    As a kid, having been interested in railways and run my school railway society and having taken groups of (slightly younger) kids on railwy excursions and holidays around Britain, I thought I could save British Rail. I had a wonderful time on my British Rail scholarship - fixing massive diesel engines and other boys toys. However, in the end, I realised the problem was bigger than I was and left to do a PhD, where I thought I would be able to make a difference.

Daniel Mcmichael Skills

Information Extraction Text Analytics Algorithm Design Knowledge Management Text Mining Language Technology Natural Language Processing Semantic Search Machine Learning Data Mining Artificial Intelligence Statistics Pattern Recognition Data Analysis Business Intelligence Research Start Ups Algorithms Entrepreneurship Semantic Technologies System Architecture Distributed Systems Mathematical Modeling Python Information Retrieval Bioinformatics Computer Vision Ontologies Thought Leadership Semantic Web Software Design Optimization Image Processing Neural Networks Programming Statistical Modeling Latex Big Data Consulting Software Engineering Rdf Computer Science Human Computer Interaction Strategic Planning Analytics Software Development

Daniel Mcmichael Education Details

  • University Of Oxford
    University Of Oxford
    Engineering System Identification
  • University Of Oxford
    University Of Oxford
    Engineering Science

Frequently Asked Questions about Daniel Mcmichael

What company does Daniel Mcmichael work for?

Daniel Mcmichael works for Semantic Sciences Pty Ltd

What is Daniel Mcmichael's role at the current company?

Daniel Mcmichael's current role is Chief Executive Officer.

What is Daniel Mcmichael's email address?

Daniel Mcmichael's email address is da****@****ces.org

What schools did Daniel Mcmichael attend?

Daniel Mcmichael attended University Of Oxford, University Of Oxford.

What are some of Daniel Mcmichael's interests?

Daniel Mcmichael has interest in Classical Music, Entity Recognition, Knowledge Management, Semantic Search, Text Analytics, Entity Resolution, Text Mining, Great Gardens, Language Technology, Having A Wonderful Family Life.

What skills is Daniel Mcmichael known for?

Daniel Mcmichael has skills like Information Extraction, Text Analytics, Algorithm Design, Knowledge Management, Text Mining, Language Technology, Natural Language Processing, Semantic Search, Machine Learning, Data Mining, Artificial Intelligence, Statistics.

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