nd****@um****.edu & No phone number available.

Nathan Dykas

I have a B.S. and M.S. in mathematics, a minor in computer science, and 15 years of computer... | Washington DC-Baltimore Area, Washington DC-Baltimore Area, United States

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Nathan Dykas’s Emails nd****@um****.edu

Nathan Dykas’s Phone Numbers No phone number available.

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Nathan Dykas’s Location Washington DC-Baltimore Area, Washington DC-Baltimore Area, United States

Nathan Dykas’s Expertise I have a B.S. and M.S. in mathematics, a minor in computer science, and 15 years of computer programming experience. I am specializing in number theory and algebraic geometry, and I enjoy developing innovative solutions to complex problems. I am currently doing research and development in machine learning, using deep learning and classical AI techniques. In the past I have done R&D in cyber security, coding theory, and computational complexity of Boolean functions. I am interested in cybersecurity, cryptography, coding theory, information theory, number theory, linear/abstract algebra, applied graph theory, natural language processing, machine learning, and data science.

Nathan Dykas’s Current Industry Parsons

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Work Experience

Parsons

Research Scientist

Fri Feb 01 2019 00:00:00 GMT+0000 (Coordinated Universal Time) — Sat May 01 2021 00:00:00 GMT+0000 (Coordinated Universal Time)

Parsons

Research Scientist

Fri Feb 01 2019 00:00:00 GMT+0000 (Coordinated Universal Time) — Sat May 01 2021 00:00:00 GMT+0000 (Coordinated Universal Time)

National Institute Of Standards And Technology

Student Trainee (Mathematics)

Tue May 01 2018 00:00:00 GMT+0000 (Coordinated Universal Time) — Present

Raytheon Bbn Technologies

Cybersecurity Grad Intern

Sun May 01 2016 00:00:00 GMT+0000 (Coordinated Universal Time) — Mon Aug 01 2016 00:00:00 GMT+0000 (Coordinated Universal Time)

University Of Maryland

Ph.D. Student And Graduate Teaching Assistant

Wed Aug 01 2012 00:00:00 GMT+0000 (Coordinated Universal Time) — Present

University Of Maryland

Phd Student At University Of Maryland

Wed Aug 01 2012 00:00:00 GMT+0000 (Coordinated Universal Time) — Present

Oak Ridge National Laboratory

Research Assistant

Mon Jun 01 2009 00:00:00 GMT+0000 (Coordinated Universal Time) — Sat Aug 01 2009 00:00:00 GMT+0000 (Coordinated Universal Time)

University Of Tennessee

Undergraduate Assistant

Thu May 01 2008 00:00:00 GMT+0000 (Coordinated Universal Time) — Fri May 01 2009 00:00:00 GMT+0000 (Coordinated Universal Time)

Parsons

Research Scientist

— Present

Skills

Languages

Nathan Dykas Email Addresses

nd****@um****.edu Work Email

nd****@um****.edu Personal Email

na****@pa****.com Personal Email

FAQ About Nathan Dykas

Nathan Dykas is located at
Washington DC-Baltimore Area, Washington DC-Baltimore Area, United States

Nathan Dykas is a
I have a B.S. and M.S. in mathematics, a minor in computer science, and 15 years of computer programming experience. I am specializing in number theory and algebraic geometry, and I enjoy developing innovative solutions to complex problems. I am currently doing research and development in machine learning, using deep learning and classical AI techniques. In the past I have done R&D in cyber security, coding theory, and computational complexity of Boolean functions. I am interested in cybersecurity, cryptography, coding theory, information theory, number theory, linear/abstract algebra, applied graph theory, natural language processing, machine learning, and data science. Parsons

Nathan Dykas currently works in the
Parsons

Nathan Dykas specializes in
I have a B.S. and M.S. in mathematics, a minor in computer science, and 15 years of computer programming experience. I am specializing in number theory and algebraic geometry, and I enjoy developing innovative solutions to complex problems. I am currently doing research and development in machine learning, using deep learning and classical AI techniques. In the past I have done R&D in cyber security, coding theory, and computational complexity of Boolean functions. I am interested in cybersecurity, cryptography, coding theory, information theory, number theory, linear/abstract algebra, applied graph theory, natural language processing, machine learning, and data science.

Nathan Dykas speaks the following languages:
No languages available.

Nathan Dykas has prior experience in the following industries:
Parsons , Parsons , Raytheon Bbn Technologies , Oak Ridge National Laboratory , University Of Tennessee

Nathan Dykas has the following professional experience:
Parsons , Parsons , National Institute Of Standards And Technology , Raytheon Bbn Technologies , University Of Maryland , University Of Maryland , Oak Ridge National Laboratory , University Of Tennessee , Parsons .