Experience

AKASA

• United States
• IT Services and IT Consulting
• 100 - 200 Employee

• Senior Machine Learning Researcher

  • Sep 2022 - Present

  San Francisco Bay Area ▪ Developing Generative AI models with large language models (LLM) for healthcare applications ▪ Leading development of end-to-end ML pipeline for model pertaining and fine-tuning ▪ Pitching product to customers and incorporating feedback into product



IBM

• United States
• IT Services and IT Consulting
• 700 & Above Employee

• Postdoctoral Researcher

  • Sep 2021 - Sep 2022

  Cambridge, Massachusetts, United States Computational Health Group - Researched fairness and bias in healthcare treatments through analysis of clinical notes in MIMICIII - Collaborated across industry and academia to research fairness through synthetic healthcare data



Stanford University

• United States
• Higher Education
• 700 & Above Employee

• PhD Candidate

  • Sep 2016 - Jun 2021

  Palo Alto, CA - Developing artificial intelligence tools for cancer treatment decisions - Building NLP language models to identify and extract treatment information from EMR data - Adapting current causal inference methods for survival outcomes - Project funded by the Stanford Human-Centered Artificial Intelligence Institute Seed Grant



X, the moonshot factory

• United States
• Research
• 400 - 500 Employee

• AI Resident

  • Jun 2019 - Sep 2019

  Mountain View, CA Building machine learning models to solve challenging real-world problems. Project Tidal @ X: https://blog.x.company/introducing-tidal-1914257962c3



NVIDIA

• United States
• Computer Hardware Manufacturing
• 700 & Above Employee

• AI Research Intern

  • Jun 2018 - Sep 2018

  Santa Clara, CA Explored how to implement and tune Bayesian deep learning with applications to active learning. Contributed Bayesian neural network training code to the official TensorFlow Probability repository. Documented work into NVIDIA’s Confluence pages and paper in working progress.



Altamont Pharma Holdings

• United States
• Investment Management
• 1 - 100 Employee

• Data Science Consultant

  • Oct 2017 - Jan 2018

  Palo Alto, CA Performed a preliminary analysis of the AACT Clinical Trials Database to understand its limitations and capabilities. Built ML models from extrapolated data to inform and project goal. Summarized findings in a detailed report with current findings and future recommendations.



Oracle

• United States
• IT Services and IT Consulting
• 700 & Above Employee

• Software Engineer

  • Mar 2015 - Sep 2016

  Burlington, MA Developed machine learning models to optimize the quality assurance process. Ensured the quality and stability of the ZFS Storage Appliance device. Analyzed test results for patterns and trends to discover the root of a system bug.



MIT Sloan School of Management

• United States
• Higher Education
• 700 & Above Employee

• Researcher

  • Feb 2014 - Aug 2016

  Cambridge, MA Developing interpretable models to predict the probability of prisoner recidivism. Researching existing literature on prisoner psychology and recidivism. Mining the 1994 Prisoner Recidivism data for over 120 features that can be used in model development. Training different models using existing algorithms in R and analyze the accuracy based on the existing 1994 data.



NOAA: National Oceanic & Atmospheric Administration

• Government Administration
• 700 & Above Employee

• Ernest E. Hollings Research Scholar

  • May 2014 - Jul 2014

  La Jolla, CA Contributed to development of machine vision application in C# for fish detection and tracking in underwater videos. Collected a dataset of over 1800 images for detection classifier training. Tested existing detection and tracking algorithms and analyzed the results. Provided recommendations and suggestions for future research.



Nabsys

• United States
• Biotechnology Research
• 1 - 100 Employee

• Data Analyst Consultant

  • Jan 2014 - Jan 2014

  Providence, Rhode Island Area Streamlined the process of data mining and analysis for the Fabrication team through a Java program. Increased the efficiency of the Fabrication team by automating the process of data extraction. Exceeded the expectations of peers and managers by solving problems outside of the scope of project.



BMW Group

• Germany
• Motor Vehicle Manufacturing
• 700 & Above Employee

• Software Engineering Intern

  • May 2013 - Aug 2013

  Munich, Germany Programmed a particle filtering system for the driver intent inference AI system in the automobile to predict the gaze direction of the driver during driving. Also designed a calibration GUI for SmartTrack, a device used in data gathering for driver intent inference. Communicated and collaborated with colleagues in a foreign environment.