Experience

MIT EECS

• United States
• Higher Education
• 1 - 100 Employee

• Lab Assistant for Introduction to Machine Learning (6.390)

  • Sep 2023 - Present

  • Assisted students during office hours, debugged code in PyTorch/Python, and taught machine learning topics beyond lecture content for class of 450+ students • Assisted students during office hours, debugged code in PyTorch/Python, and taught machine learning topics beyond lecture content for class of 450+ students



Sunona

• United States
• Hospitals and Health Care
• 1 - 100 Employee

• Software Engineer

  • Jul 2023 - Present

  • Developed website functionality in frontend/backend for machine learning start-up that auto-generates medical documentation with patient-visit recordings • Worked with team of 15 based out of MIT • Developed website functionality in frontend/backend for machine learning start-up that auto-generates medical documentation with patient-visit recordings • Worked with team of 15 based out of MIT



MIT Biotech Group

• United States
• Biotechnology Research
• 1 - 100 Employee

• Career Fair Co-Director

  • May 2023 - Present

  • Lead career fair logistics, coordinate with sponsors, and handle payments for in-person and virtual biotech career fair

• Undergraduate Senior Associate

  • Sep 2022 - May 2023

  • Led and organized logistics behind Breakthroughs in Biotech seminar series



MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)

• United States
• Higher Education
• 300 - 400 Employee

• Undergraduate Researcher, Kellis Lab (MIT Computational Biology Group)

  • Feb 2023 - Sep 2023

  • Conducted single cell data analysis of RNA-seq datasets in Python and R • Analyzed differentially expressed genes (DEGs), gene ontology pathways, cell-cell interactions from ligands and receptors, and upstream regulators with the Scanpy software suite • Conducted single cell data analysis of RNA-seq datasets in Python and R • Analyzed differentially expressed genes (DEGs), gene ontology pathways, cell-cell interactions from ligands and receptors, and upstream regulators with the Scanpy software suite



Bathe BioNanoLab - MIT Laboratory for Nucleic Acid Nanotechnology

• Cambridge, Massachusetts, United States

• Undergraduate Researcher

  • Jan 2023 - Feb 2023

  • Performed thermodynamic analysis of promiscuous DNA-based ligand-receptor networks using Python • Performed thermodynamic analysis of promiscuous DNA-based ligand-receptor networks using Python