Computational Biology and Bioinformatics
Craniosynostosis, a congenital disease that affects 1 in 2000-2500 people, shares genetic mutations implicated in cancer progression, yet has not been studied as a potential predictive marke…
Computational Biology and Bioinformatics
Annually, the environmental bacteria cause food-borne illnesses that affect over 50 million persons worldwide. Over half the pharmaceuticals utilize bacterial products. Less than 1% of the e…
Computational Biology and Bioinformatics
Genetic disorders are very common in the general population. These disorders are caused by abnormalities in one’s genome (DNA), which in turn encodes the proteins that are expressed in one’s…
Computational Biology and Bioinformatics
Everyday, 115 Americans die from opioid overdose. These opioids, such as morphine, are often used as pain-management therapeutics. However, morphine and other synthetic drugs induce adverse…
Computational Biology and Bioinformatics
Alzheimer’s disease (AD) diagnosis is a challenge, with misdiagnosis rates at 20-30%. Proteomics has become a field of interest in the search for biomarkers for the early diagnosis of AD. Ho…
Computational Biology and Bioinformatics
The mathematical analysis of human growth, from the zygote to the adult, is key to determining long and short term health and longevity. Many studies prior have sought to develop a systemati…
Computational Biology and Bioinformatics
Fourth Award
Secondary cancers, which develop as a result of initial radiation or chemotherapy treatments, are a major cause of morbidity and mortality in cancer survivors. Early prediction of the develo…
Computational Biology and Bioinformatics
Understanding gene function is important for many reasons; in particular, one could examine the gene of a pathogen to find a weakness, or discover a gene in a human related to cancer. Annota…
Computational Biology and Bioinformatics
Fourth Award
The goal of this project was to create a comprehensive test, automated and not requiring laboratory blood analysis, for the prediction of diabetic retinopathy and cardiovascular risk, utiliz…
Computational Biology and Bioinformatics
Lesions, or abnormalities in tissue, are common and can be very severe. Before they become lethal, it is imperative that they are properly scanned and detected, so that proper measures can b…
Computational Biology and Bioinformatics
The Hardy-Weinberg Principle states that allele frequencies will not significantly change in 5 generations if there is an extremely large population size along with other factors. I compared…
Computational Biology and Bioinformatics
Lineage tracing provides fundamental insights into the developmental trajectories of individual cells of complex organisms. Genetic labeling approaches, such as naturally-occurring mitochond…
Computational Biology and Bioinformatics
The genetic disorder preeclampsia is characterized by severe hypertension and proteinuria during pregnancy. Our project investigated the role of lncRNA (long non-coding RNA) in the genetic p…
Computational Biology and Bioinformatics
The p53 protein, known for its role in preventing cancer, can also become the cause of cancer when mutated. Finding a way to understand the protein and develop a way to reactivate it has bee…
Computational Biology and Bioinformatics
Lung cancer is the leading cause of cancer-related deaths in men and women. In addition, many patients with progressive lung cancer develop latent radiation-induced respiratory damage. The p…
Computational Biology and Bioinformatics
Multiple sequence alignments, alignments of three or more biological sequences play a critical role in phylogenetic tree development and identification of evolutionarily conserved regions. E…
Computational Biology and Bioinformatics
Pathogen populations are not static, but instead sporadically mutate, posing a difficult threat to combat as they evolve to resist antibiotics. Fortunately, we can look to genetics to help p…
Computational Biology and Bioinformatics
Alzheimer’s Disease (AD) significantly reduces memory, communication, focus, and reasoning skills in elderly individuals. There is no known cure with progressive deterioration. Early identif…
Computational Biology and Bioinformatics
Fourth Award
Type 2 diabetes mellitus (T2DM) affects the lives of millions of people through its life-altering complications. Worldwide, 3.4 million people die of diabetes annually. It is known that T2DM…
Computational Biology and Bioinformatics
Protein folding and computational origami are gradually becoming revolutionary fields. With our ability to computationally analyze minuscule biological structures, we are making significant…
Computational Biology and Bioinformatics
There are a wide variety of Beta-globin related disorders including sickle cell disease and Beta-thalassemia. There are five main genes in the Beta-globin locus: epsilon, gamma two, gamma on…
Computational Biology and Bioinformatics
Electroencephalography (EEG) headsets, being highly portable, present a convenient, noninvasive method of recording the brain’s electrical activity. This project seeks to develop a method fo…
Computational Biology and Bioinformatics
Recent research has determined that genes are regulated by a complex, changing network of DNA spatial interactions. However, current wet-lab technologies for characterizing the 3D genome are…
Computational Biology and Bioinformatics
Second Award
Dyslexia is the world’s most common neurological learning disability - it affects 1 in every 10 people worldwide. And though it has been proven that an early diagnosis can significantly redu…
Computational Biology and Bioinformatics
Antimicrobial resistance (AMR) is a major threat to global public health with 10 million people at risk of dying from AMR-related causes by 2050. Understanding the underlying biological fact…
Computational Biology and Bioinformatics
Fourth Award
With the ever-increasing popularity of renewable energy, many are beginning to explore the possibility of using solar arrays in domestic and/or compact, urban environments. For the average p…
Computational Biology and Bioinformatics
The bacterial species of Burkholderia are renown by scientists to be extremely difficult to distinguish. As a result, melioidosis, which is one of the many diseases caused by Burkholderia, h…
Computational Biology and Bioinformatics
Lichen species cover nearly 8% of the earth’s surface and are overlooked in genetic studies. Because lichen are composed of bacteria, fungi, and algae, separating and sequencing a three-part…
Computational Biology and Bioinformatics
NFKBIA deletions are extremely prevalent in cases of both Breast Cancer and Glioblastoma, and this study aims at identifying genes disproportionately affected by these deletions. First, gene…
Computational Biology and Bioinformatics
I used Big Data (> 2.3 million records) to identify predictors of peripheral neuropathy (PN). PN costs the U.S. over 10 billion annually, so predicting factors may lead to large cost savings…