Research Blog

HemaDrop: A Novel Elemental Composition Technology for Microliter-size Blood Droplets via Solid State Technique

By Nikhil Suresh My most significant project regards low-volume blood diagnostics. Current blood tests mandate 10mL of blood and days for accurate results. Since such tests are the liquid state, there are many intermediary steps with the gold standard and thus make it inefficient. My research involves the development of a novel “hyper-hydrophilic” coating that solidified 5 microliters of blood …

Understanding the Relationship Between Protein Sequence Features and Liquid-liquid Phase Separation

By Ramiz Somjee Liquid-liquid phase separation is the demixing process that leads to the formation of non-membrane bound cellular compartments termed membrane less organelle. Each membrane less organelle concentrates unique biomolecules to facilitate particular biological processes. The nucleolus, for example, facilitates the assembly of pre-ribasomal particles. Phase separation occurs because proteins within the separated dense phase interact favorably with each …

Mechanisms of Transitions in Strategic Behavior in a Mixed-Strategy Game

By Mitchell Ostrow My most significant research project entails computational modeling of macaque behavior and neural correlates, in a psychiatry lab at Yale University. Matching Pennies is a binary-choice, repetitive game, played against an opponent. In this instance of the game, 6 monkeys played an unbiased matching pennies game for a number of sessions with varying length. At each step, …

Coping with Stress

By Rachel Joseph This project is about discovering which healthy coping method is the most efficient in handling stress. Stress is a very common issue, especially in teens, who deal with many stressors on a daily basis from school, to social life, and more. Chronic stress can lead to many emotional disorders and issues such as anxiety, depression, and panic …

Exploring the Effects of E-Cigarettes using Drosophila Melanogaster

By Aditi Dosi My project explores the long-term effects of aerosolized propylene glycol and vegetable glycerin, two of the main non-nicotine ingredients in e-cigarettes, by looking at mutations in Drosophila Melanogaster, also known as fruit flies. I found a statistically significant decrease in size, number of offspring, and mutations in wing structure, as well as changes in behavior. The finding …

Going Green to Prevent Breast Cancer: The Effect of Epigallocatechin Gallate on Tumor Growth in Planaria

By: Ellia Sweeney Many people struggle with breast cancer, and while there is no cure, there are several studies being done on everyday substances that are believed to contribute to preventing the growth of cancerous tumors. Yet currently, many studies remain inconclusive. New carcinogens are found every year, as are new substances believed to fight the carcinogens. Green tea is …

Design and Optimization of Portable, High Energy Quantum-Nuclear Reactor

By: Aakash Sunkari Nuclear reactors are a promising source of clean energy due to their high energy output and capacity. Operating on either principles of nuclear fission (“splitting the atom”) or nuclear fusion (“fusing the atom), nuclear reactors are currently the only alternative source of energy that can compete with fossil fuels in the long run – other clean sources …

Machine Learning for Single Cell RNA Sequencing Data Analysis: An Unsupervised Learning Approach towards Subclonal Cell Population Identification for Target Therapy Applications Against Tumor Heterogeneity

By Anastasia Dunca In this work, I investigated machine learning algorithms for the effectiveness of statistical analysis on single cell RNA sequencing data for development of immunotherapy strategies. Single-cell RNA sequencing is an innovative tool in bioinformatics that is a group of methods that quantify the amount of RNA in a sample. This is very useful in the topic of …

A Deep Learning Model for Breast Cancer Risk Quantification using Full-Field Digital Mammography and Breast Magnetic Resonance Images

By: Ritvik Pulya Every year, almost 30% of all breast cancer cases are diagnosed late, with a 68% difference in five-year survival rates between Stage 2 and Stage 4 individuals (American Cancer Society). However, current breast cancer risk estimation models such as the Tyler-Cuzick and Gail models have moderate predictive accuracy (only slightly better than 50% or choosing an outcome …