Fahad Kamran

Fahad Kamran Email and Phone Number

Research Scientist at Apple @ Apple
cupertino, california, united states
Fahad Kamran's Location
Seattle, Washington, United States, United States
Fahad Kamran's Contact Details

Fahad Kamran work email

Fahad Kamran personal email

n/a
About Fahad Kamran

Fahad Kamran is a Research Scientist at Apple at Apple. He possess expertise in python, java, android, economics, pure mathematics and 15 more skills. He is proficient in Urdu and Spanish.

Fahad Kamran's Current Company Details
Apple

Apple

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Research Scientist at Apple
cupertino, california, united states
Website:
apple.com
Employees:
218112
Fahad Kamran Work Experience Details
  • Apple
    Research Scientist
    Apple Jan 2024 - Present
    Seattle, Washington, United States
    Research Scientst for the Health AI team at Apple.
  • University Of Michigan
    Graduate Student Research Assistant
    University Of Michigan Aug 2018 - Nov 2023
    Ann Arbor, Michigan, United States
    My work focused on developing and evaluating novel machine learning algorithms to augment decision-making in healthcare. My research specialized in causal inference, survival analysis, and applying machine learning to electronic health record (EHR) data and wearable sensor data. My research aimed to learn valuable person-specific insights to improve individual health outcomes. I also had a strong interest in sports analytics and data mining.
  • University Of Michigan
    Graduate Student Instructor
    University Of Michigan Sep 2019 - Dec 2019
    Graduate student instructor (GSI) for EECS 492 at the University of Michigan. This courses provides students with an introduction to the core topics in artificial intelligence. My main responsibilities include: leading discussion sections, holding office hours, managing grading and online forums, and creating and revising assignments. I have also given two lectures for the course.
  • Evidation
    Data Science Intern
    Evidation May 2022 - Aug 2022
    Worked in a research capacity with Evidation Health to analyze the effects of missing confounders and omitted variable bias in intensive longitudinal data. I helped develop a new theory on the effect of omitted variable bias in mixed-effect models. To test this theory, I empirically analyzed the effect of missing lagged variables on statistical associations in mixed-effect models, both using simulations and real person-generated health data.
  • Uc Berkeley
    Summer Instructor: Foundations Of Data Science
    Uc Berkeley Jun 2018 - Aug 2018
    Berkeley
    Acting Co-instructor for the UC Berkeley course Foundations of Data Science. Some responsibilities included: lecturing to over 250 students, holding office hours, maintaining logistics day to day responsibilities of the course, creating and administering exams, compiling and submitting grades, and organizing and mentoring a staff consisting of teaching assistants, tutors, and lab assistants.
  • Uc Berkeley
    Teaching Assistant: Foundations Of Data Science
    Uc Berkeley Dec 2015 - May 2018
    Hired for 20 hours to teach as an Undergraduate Student Instructor for the new course Foundations of Data Science, Computer Science C8 for three semesters (Spring 2016, Fall 2016, Fall 2017). Responsibilities included teaching labs, helping create homework, and overseeing the class in order to ensure it remains smooth in its pioneering semesters. Moreover, I created and was in charge of the website, data8.org/fa16. Finally, I was in charge of auto-grading assignments on-top of my normal responsibilities.
  • Uc Berkeley
    Research
    Uc Berkeley Mar 2016 - Dec 2017
    Worked under Professor Stuart Russell to analyze ECG signals using deep learning. Utilized generative models to improve representation learning for downstream tasks such as detecting cardiac arrhythmia.
  • Uc Berkeley
    Teaching Assistant For Data Structures And Algorithms
    Uc Berkeley Dec 2016 - May 2017
    Berkeley
    Hired for 20 hours to help teach this course. My main responsibilities included teaching sections and labs, being involved in course wide decisions, and helping maintain organization and infrastructure. My main project was helping to train tutors and provide the 1000+ students with the ability for small group tutoring. Lastly, I was in charge of compiling grades and dealing with regrade requests for the course.
  • 84.51˚
    Data Analyst Intern
    84.51˚ May 2017 - Aug 2017
    Cincinnati, Oh
    I spent two months interning for a data analytics firm that is owned by and works for the popular store Kroger. I used predictive machine learning modeling to select variables in order to target customers for certain areas of the store. I also helped create a basis for natural language processing for the company, including creating an application to extract themes from comments and a large guide introducing the concept to people who are new to the field.
  • Computer Science Mentors
    President
    Computer Science Mentors May 2016 - May 2017
    I was the president of the organization Computer Science Mentors, which aims to provide tutoring to lower division computer science courses and provide aspiring teachers the means to get started.
  • Computer Science Mentors
    Senior Mentor
    Computer Science Mentors Jan 2015 - Dec 2016
    Berkeley
    I started as a Junior Mentor, where I lead a session each week for a group of students who were seeking extra help in their computer science courses. Now, as a Senior Mentor, I will also coordinate the logistics of the group and teach Junior Mentors how to conduct their sections every week. For two semesters, I taught for the course Structure and Interpretation of Computer Programs, but I have moved to pioneering the tutoring for Discrete Mathematics and Probability.
  • Computer Science Mentors
    Data Analyst / Secretary
    Computer Science Mentors Dec 2015 - May 2016
    Joined the executive committee of Computer Science Mentors, a student led organization that aims to provide tutoring for kids struggling in computer science courses at UC Berkeley. I am the organizations data analyst and secretary, dealing with things such as emails, statistics, room reservations, and much more.
  • Uc Berkeley
    Teaching Assistant: Introduction To Artificial Intelligence
    Uc Berkeley Jun 2016 - Aug 2016
    A TA for the course Introduction to Artificial Intelligence. I was in charge of holding discussions, office hours, and creating worksheets and problems for the course.
  • Uc Berkeley
    Tutor/Reader For Cs61A
    Uc Berkeley Jun 2015 - Dec 2015
    Berkeley
    Hired by the University and Computer Science Department to lead small tutoring sections, grade exams, and coordinate various other logistics for CS61A, Structure and Interpretation of Computer Programs.

Fahad Kamran Skills

Python Java Android Economics Pure Mathematics Git Unix Artificial Intelligence Javascript Sql Scheme Teaching Mentoring Machine Learning R Deep Learning Data Analytics Data Science Natural Language Processing Research

Fahad Kamran Education Details

Frequently Asked Questions about Fahad Kamran

What company does Fahad Kamran work for?

Fahad Kamran works for Apple

What is Fahad Kamran's role at the current company?

Fahad Kamran's current role is Research Scientist at Apple.

What is Fahad Kamran's email address?

Fahad Kamran's email address is fa****@****ich.edu

What schools did Fahad Kamran attend?

Fahad Kamran attended University Of Michigan, University Of California, Berkeley.

What are some of Fahad Kamran's interests?

Fahad Kamran has interest in Mathematics, Working Out, Teaching, Professional Interests, Children, Sports (Especially Soccer), Coaching, Start Ups, Computer Science, Education.

What skills is Fahad Kamran known for?

Fahad Kamran has skills like Python, Java, Android, Economics, Pure Mathematics, Git, Unix, Artificial Intelligence, Javascript, Sql, Scheme, Teaching.

Who are Fahad Kamran's colleagues?

Fahad Kamran's colleagues are Mohamed Sobhy, Nicolas Venegas Salinas, Sumit Mishra, Jimmy Nguyen, Najee Reeves, Jennifer Phelps, Rakhi Singh.

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