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Mike Salem Email & Phone Number

AI Practitioner, Data Scientist & Engineer | Robotics Enthusiast | Innovating Across Industries with Cutting-Edge Tech at Gilead Sciences
Location: San Francisco, California, United States 13 work roles 3 schools
2 work emails found @gilead.com 2 phones found area 602 and 212 LinkedIn matched
✓ Verified July 2026 4 data sources Profile completeness 100%

Contact Signals · 2 work emails · 2 phones

Work email m****@gilead.com
Direct phone (602) ***-****
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Current company
Role
AI Practitioner, Data Scientist & Engineer | Robotics Enthusiast | Innovating Across Industries with Cutting-Edge Tech
Location
San Francisco, California, United States

Who is Mike Salem? Overview

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Quick answer

Mike Salem is listed as AI Practitioner, Data Scientist & Engineer | Robotics Enthusiast | Innovating Across Industries with Cutting-Edge Tech at Gilead Sciences, based in San Francisco, California, United States. AeroLeads shows a work email signal at gilead.com, phone signal with area code 602, 212, and a matched LinkedIn profile for Mike Salem.

Mike Salem previously worked as Associate Director Data Science - QA at Gilead Sciences and Robotics Adjunct Faculty at Brandeis University. Mike Salem holds Master'S Degree, Mathematics from Arizona State University.

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{first}.{last}@gilead.com
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Profile bio

About Mike Salem

A data scientist / mathematician with 10+ years of experience utilizing artificial intelligence to solve unique problems across multiple domains including robotics, finance and manufacturing/supply chains.Demonstrated ability working with large, unstructured and messy data sets, responsible for architecting, building and maintaining automated pipelines. Comfortable building data visualizations and presenting results to senior executives and cross-functional teams. A technical lead that mentors co-workers by building skills with a demonstrated history of identifying, defining, and solving hard, ambiguous problems. Key Skills: Artificial Intelligence (AI) ,Machine Learning (ML) , Deep Learning, Algorithms, Mathematical modeling and simulation, Quantitative AnalysisProgramming Languages: Python, SQL, C++, MATLAB

Listed skills include Mathematical Modeling, Machine Learning, Algorithms, Software Engineering, and 46 others.

Current workplace

Mike Salem's current company

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Gilead Sciences
Gilead Sciences
AI Practitioner, Data Scientist & Engineer | Robotics Enthusiast | Innovating Across Industries with Cutting-Edge Tech
Website
AeroLeads page
13 roles

Mike Salem work experience

A career timeline built from the work history available for this profile.

Associate Director Data Science - Qa

Current

Foster City, Ca, Us

Utilize Large Language Models and construct Graph Models to analyze text and unstructured data. Areas of focus include Production Manufacturing Quality Assurance, Supply Chain, as well as others including Anti-Counterfeiting.

Jun 2021 - Present

Robotics Adjunct Faculty

Waltham, Ma, Us

• Designed and built “Python for Robotics and AI” course including four original projects from scratch that taught students, Python, NLP, Deep Learning, Machine Learning and image manipulation with a compressed timeline and ahead of schedule..• Responsible for designing, building and teaching a first-of-its-kind course for the graduate program in robotics called "Use Cases for Robotic Systems"

Oct 2019 - Jun 2023

Principal Data Scientist

South San Francisco, California, Us

• Responsible for analyzing a 10k+ person survey for chief executives during COVID-19 which helped influence policies for the entire company.• Created an automated pipeline for analyzing surveys that utilizes Python’s Scipy and Scikit-Learn.• Used NLP techniques to analyze 5k+ free response survey questions to identify topics/themes of responses.• Consulted on an operational expense model for the Finance department that delivered a more accurate forecasting model than IBM’s TM1. • Built and delivered location heatmap using Google’s API and Folium / Plot.ly for internal transportation team serving as both the Product Owner and technical developer.• Developed a POC that uses extractive text summarization on articles using and also creates an MP3 of the summarized text for playback.• Mentored data scientists across HR and Finance departments.• Partnered with Product Owners to create and pitch new products.

Dec 2019 - Jun 2021

Data Engineer

Mountain View, California, Us

Apr 2019 - Nov 2019

Academic Tutor

Menlo Park, Ca, Us

Mar 2019 - May 2019

Senior Learning Technologist - Robotics, Autonomous Systems, And Artificial Intelligence

Mountain View, California, Us

• Selected for a new initiative that reported to the CEO as the technical lead to bring interdisciplinary products to market using artificial intelligence.• Analyzed numerical and text data using machine learning / statistical packages (Scikit-Learn and Pandas, NLTK).• Lead for Robotics and Artificial Intelligence programs.• Developed an ordered ranking system using Mixed-Integer Programming to prioritize product enhancements.• Served as department technical liaison by working with multiple stakeholders to define requirements and build products.

Mar 2018 - Dec 2018

Student Experience Group Lead - Autonomous Systems

Mountain View, California, Us

• Helped build robotics program brand by negotiating collaboration with robotics companies with zero budget.• Created an overview of robotics material on topics including: biologically-inspired robots, human-robot interaction, soft robotics, robot grasping, and swarm robotics.• Served as the primary innovator for several key products and initiatives that were adopted and distributed company-wide. • Responsible for shaping the technical scope of work for department and leading initiatives that are impactful to customers.• Built and managed a diverse, eight-person team through three role changes resulting in responsible for customer service, data analysis and technical knowledge of robotics.• Conducted live, unscripted robotics interviews/Q&As with robotics companies on YouTube.• Founded Udacity’s robotics Slack community composed of more than 5000 roboticists and students.

May 2017 - Mar 2018

Nanodegree Service Lead - Artificial Intelligence

Mountain View, California, Us

• Built a network of mentors and project reviewers for Udacity's Artificial Intelligence Nanodegree Program.• Created a method for finding and recruiting beta testers to test new material.• Helped provide feedback on technical program projects from a student's perspective.

Jan 2017 - May 2017

Senior Quantitative Research Data Analyst

Toronto, On, Ca

• Lead a computer vision based project analyzing imagery to help predict sales using Convolutional Neural Networks and computer vision libraries like OpenCV.• Conducted an event-study by measuring the impact of a customer/supplier relationships using Python and Pandas.• Responsible for monitoring and maintaining more than 30 servers consisting of Linux and Microsoft operating systems.• Responsible for designing and implementing several automation scripts in Python and Bash to perform ETL (Extract Transform Load) from various sources to destinations such as relational databases and HDFS.• Rearchitected scripts and procedures to increase data flow and decrease run-time by 75%

Jul 2013 - Jan 2017

Senior Scientific Developer

Shoppingscout
May 2012 - Jul 2013

Software Engineer

Phoenix, Az, Us

• Part of team that developed ground control stations for unmanned aerial vehicles (UAVs / drones).• Responsible for the full project life cycle development of a C++, real-time multi-threaded highly scalable system focused on transmitting information over TCP/IP and UDP sockets.• Performed serial communication over RS-232 and RS-422 to interface with modems, Automatic Dependent Surveillance Broadcast (ADS-B) hardware devices and other payloads.• Developed algorithms to aid or simulate unmanned aerial vehicles based on modified Proportional-Integral-Derivative (PID) controllers.

Jun 2009 - May 2012

Adjunct Mathematics Professor

Glendale, Az, Us

• Responsible for teaching Intermediate Algebra

Jan 2011 - May 2011

Adjunct Mathematics Professor

Az, Us

• Responsible for teaching Calculus II, Calculus III, Intermediate Algebra and Basic Mathematics.

Jan 2009 - May 2010
Team & coworkers

Colleagues at Gilead Sciences

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3 education records

Mike Salem education

Master'S Degree, Mathematics

Arizona State University

Graduate Program Computer Science: Computational Perception / Robotics / Machine Learning

Georgia Institute Of Technology

Bachelor'S Degree, Mathematics

Arizona State University
FAQ

Frequently asked questions about Mike Salem

Quick answers generated from the profile data available on this page.

What company does Mike Salem work for?

Mike Salem works for Gilead Sciences.

What is Mike Salem's role at Gilead Sciences?

Mike Salem is listed as AI Practitioner, Data Scientist & Engineer | Robotics Enthusiast | Innovating Across Industries with Cutting-Edge Tech at Gilead Sciences.

What is Mike Salem's email address?

AeroLeads has found 2 work email signals at @gilead.com for Mike Salem at Gilead Sciences.

What is Mike Salem's phone number?

AeroLeads has found 2 phone signal(s) with area code 602, 212 for Mike Salem at Gilead Sciences.

Where is Mike Salem based?

Mike Salem is based in San Francisco, California, United States while working with Gilead Sciences.

What companies has Mike Salem worked for?

Mike Salem has worked for Gilead Sciences, Brandeis University, Genentech, Lark Health, and Aj Tutoring.

Who are Mike Salem's colleagues at Gilead Sciences?

Mike Salem's colleagues at Gilead Sciences include Nathan Day, Thomas Deem, Kevin Losty, Philippa Kirkham, and David Cadogan.

How can I contact Mike Salem?

You can use AeroLeads to view verified contact signals for Mike Salem at Gilead Sciences, including work email, phone, and LinkedIn data when available.

What schools did Mike Salem attend?

Mike Salem holds Master'S Degree, Mathematics from Arizona State University.

What skills is Mike Salem known for?

Mike Salem is listed with skills including Mathematical Modeling, Machine Learning, Algorithms, Software Engineering, Python, Simulations, Artificial Intelligence, and Linux.

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