Samantha Marks Email & Phone Number

Redondo Beach, Ca, Us

Researching multi-task reinforcement learning (RL) problem for effectively intervening on human users with multiple treatment objectives to facilitate healthcare management in applications like depression.Conducting thesis research. Advisors: Professor Susan Murphy, Dr. Weiwei Pan, and Eura Nofshin.

Hawthorne, California, Us

Developed machine learning algorithms and models for aerospace applications.

Lead the Harvard Undergraduate Machine Intelligence Community (HUMIC).

● Lead the Applied Research team in creating and coding machine learning research projects.● Taught other members how to program machine learning models and creating a collaborative community.

Cambridge, Ma, Us

Lead the Harvard Satellite Team in developing a CubeSat that received a grant from NASA to launch into space by 2027.

Cambridge, Ma, Us

● Lead the bus computing and electrical subteam in designing a CubeSat to be launched into space.● Programmed the on-board computer in Python and devising the electrical bus in a collaborative team.

● Creating a machine learning model for automated tracking and behavior labeling of videos of mice.● Writing algorithms to extract features from over 100000 data points. ● Using statistical analysis and creative problem solving to determine features to extract to improve model performance.● Advisor: Dr. Brandon Logeman in the Dulac Lab

● Developed a machine learning tool that is user-friendly for scientific image segmentation using Python, Mask R-CNN, and transfer learning. Generalized the tool so that it can continually learn from new data.● Automated accurate segmentation and measurement of the tibia and pelvis in x-ray images and the dorsal region in spinal sections that captured species variation.● Awarded as a Harvard SPUDS Fellow for this research.● Advisor: Dr. Jenny Chen in the Eddy Lab

Cambridge, Massachusetts, Us

● Collaboratively programmed a machine learning model to diagnose cardiovascular disease using eye imaging data with ultimate goal of deploying a smartphone app to screen for diseases using images of eyes in medically underserved areas.

Hawthorne, California, Us

Developed machine learning algorithms and models for aerospace applications.

Cambridge, Massachusetts, Us

● Collaboratively programmed machine learning and data analytics tools in Python.● Automated analysis of documents, images, and other data to assist animal charities and biotechnology organizations.

● Created and taught Java classes for the team and guided members in programming the competition robot and mini Arduino-controlled robots.● Team placed third in the Zinc Group for the competition Infinite Recharge @ Home.

● Programmed a 120lb robot in Java to compete in the 2020 season, Infinite Recharge.● Managed and worked alongside the programming team. Mentored by professional engineers.● Won the Autonomous Award in the Zinc Group.

Cambridge, Ma, Us

● Managed a research team awarded $10,000 to develop and build a minimally invasive, inexpensive, rapid result sensor to screen for sepsis and onset of septic shock, the leading cause of death in hospitals.● Designed the sensor based on research and also coordinated code development for an Arduino program to measure heart rate and began app development.

● Programmed a 120lb robot in Java to compete in the 2019 season, Deep Space.● Won the Rookie All-Star Award and made it to the World Championship.

Bachelor'S Degree, Computer Science And Statistics

High School Diploma, Biotechnology Academy