Diego Escalante

Diego Escalante Email and Phone Number

Structural Bioengineer @ Bio-Techne
minneapolis, minnesota, united states
Diego Escalante's Location
Minneapolis, Minnesota, United States, United States
Diego Escalante's Contact Details

Diego Escalante work email

Diego Escalante personal email

n/a
About Diego Escalante

• Chemical engineer and structural biology expert with 8+ years of experience in software development, predictive analytics, and data-driven rational design of small molecule drug inhibitors.• Demonstrated abilities in the automated analysis of big data systems through machine learning, neural networks, and artificial intelligence to optimize bio-catalyzed chemical synthesis. • Interdisciplinary collaborator with experience working on cross functional teams with both academic and industry team members including public health specialists, engineers, and investors.• Experienced in written and oral communication to various audiences through 12 publications with 8 in peer-reviewed journals and 8 oral presentations at national conferences.• 15 years of experience in programming & data engineering languages: Java, Bash, R, Python, C++, SQL, MATLAB.• 8 years of experience conducting computational biophysical research, developing computational infrastructure, and deploying computational workflows for use by the general public.

Diego Escalante's Current Company Details
Bio-Techne

Bio-Techne

View
Structural Bioengineer
minneapolis, minnesota, united states
Website:
bio-techne.com
Employees:
1993
Diego Escalante Work Experience Details
  • Bio-Techne
    Structural Biologist
    Bio-Techne Oct 2022 - Present
    Minneapolis, Minnesota, United States
  • University Of Minnesota
    Postdoctoral Research Associate
    University Of Minnesota Sep 2019 - May 2022
    Minneapolis, Minnesota, United States
    • Elucidated the interactions that control the stability of inhibitor binding at the interface of the highly anisotropic surface of M. tuberculosis receptors and commercially available antibiotics. • Designed and implemented highly scalable algorithms to automate and streamline high-throughput predictions of tuberculosis inhibitors. • Conducted statistical analysis of big data sets through machine learning and neural network algorithms to design small molecule inhibitors.• Designed, tested, and validated computational protocols to develop new methodologies that increase the signal to noise ratio in the calculation of binding affinities. • Built homology models for several protein receptors related to cancer, HIV, tuberculosis, and Sars-CoV-2 to understand key binding interactions and rationally design more potent small molecule inhibitors.
  • University Of Minnesota
    Graduate Research Assistant
    University Of Minnesota Sep 2013 - Jul 2019
    • Studied the thermodynamic properties of biodegradative chemical reactions and surface interactions using statistical mechanics, molecular mechanics, and quantum simulations.• Developed algorithms to automate the 3D visualization of tunnels inside enzymes via mesh representation and speed up the calculation of biodegradation predictions.• Designed, developed, and maintained a SQL-driven website to provide access to over 10,000 predicted chemical reactions.• Collaborated in the elucidation of enzyme structures via X-ray crystallography to properly model the surface interactions of encapsulated enzymes inside silica gel microbeads and improve the rate of biodegradation.• Collaborated in the characterization of silica gel microbead surface properties via electron microscopy to improve the distribution of media properties and enhance the biodegradation capabilities of encapsulated enzymes.
  • University Of Minnesota
    Principal Instructor
    University Of Minnesota Jun 2017 - May 2018
    Course: Introduction to Engineering Thermodynamics• Developed and taught syllabus implementing interactive learning for 70 junior level undergraduates.
  • University Of Minnesota
    Teaching Assistant
    University Of Minnesota Sep 2013 - Dec 2017
    Courses: Engineering Modeling, Modern Thermodynamics, Introduction to Engineering Thermodynamics• Prepared discussion material and in-class activities focusing on lecture material for 20-30 senior level undergraduate and first year graduate students.
  • University Of Minnesota
    Junior Research Scientist
    University Of Minnesota Sep 2012 - Aug 2013
    • Developed a system to rank chemicals found in hydraulic fracturing waters.• Model ligand-protein interactions to determine the probability that chemicals found in hydraulic fracturing waters can biodegrade.• Designed algorithms to generate all possible isomer structures of a chemical molecule.• Work in an interdisciplinary group environment including mechanical engineering, biochemistry, and public health experts.

Diego Escalante Skills

Leadership Computational Biology Research And Development University Teaching Drug Design Computational Modeling Data Science Electron Microscopy Statistical Analysis Predictive Modeling Numerical Analysis Protein Structure Computational Chemistry Teaching Matlab Interactive Learning R (Programming Language Predictive Analytics Data Analysis Biotechnology Data Analytics Protein Engineering Protein Protein Interactions Statistical Data Analysis Drug Discovery Molecular Biology Programming Java Drug Development Aspen Hysys Model Based Systems Engineering Medicinal Chemistry Python Sql Management Teamwork Analytical Skills Research Machine Learning Statistical Modeling Data Visualization Algorithm Development Big Data Analytics

Diego Escalante Education Details

Frequently Asked Questions about Diego Escalante

What company does Diego Escalante work for?

Diego Escalante works for Bio-Techne

What is Diego Escalante's role at the current company?

Diego Escalante's current role is Structural Bioengineer.

What is Diego Escalante's email address?

Diego Escalante's email address is de****@****umn.edu

What schools did Diego Escalante attend?

Diego Escalante attended University Of Minnesota, University Of Minnesota.

What skills is Diego Escalante known for?

Diego Escalante has skills like Leadership, Computational Biology, Research And Development, University Teaching, Drug Design, Computational Modeling, Data Science, Electron Microscopy, Statistical Analysis, Predictive Modeling, Numerical Analysis, Protein Structure.

Who are Diego Escalante's colleagues?

Diego Escalante's colleagues are Tshililo Mphagi, Parth Sadriya, Walter Baker, Paula Mckeogh, Angelina Hang, Daniel Zeleke, Will Carlen.

Not the Diego Escalante you were looking for?

Free Chrome Extension

Find emails, phones & company data instantly

Find verified emails from LinkedIn profiles
Get direct phone numbers & mobile contacts
Access company data & employee information
Works directly on LinkedIn - no copy/paste needed
Get Chrome Extension - Free

Aero Online

Your AI prospecting assistant

Download 750 million emails and 100 million phone numbers

Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.