About
Hey, I'm Maxwell. I'm a student at Penn State University in the Bioinformatics and Genomics PhD program.
Data Scientist
In my spare time, I like to understand financial markets and develop statistical approaches to evaluate/predict them. Hobbies: traveling, photography, athletics (soccer), performance training, and hip-hop/culture enthusiast.
- Birthday: October 24th, 1994
- Ethnicity: Greek-Cypriot, Multi-European
- Phone: +1 917 496 0340
- Hometown Queens, New York City, USA
- Age: 29
- Degree: PhD Candidate
- Email: maxwellkonnaris @ gmail . com
- Consulting: Available
Resume
Summary
Experience: Health, Medical, and Biological Data Scientist
- 4+ years of computational experience
- 2+ years of wet-lab experience
- 4+ years of clinical experience
Goal: Expand the machine learning and statistical ("Artificial Intelligence") methods to analyze genetic data in hopes to create novel strategies for personalized and precision medicine.
Data:
- Molecular data (Multiple omics, WGS, Single Cell)
- Cellular biological data
- Physiological data
- Biometric Wearables
- Electronic Health/Medical Claims Records
- Medical Imaging (X-ray, Ultrasound, Histology, Immunohistochemistry)
Publications
See Google Scholar for a list of publications
Education
Doctorate of Philosophy in Bioinformatics and Genomics w/ Statistical Genomics Option
2022-Present
Pennsylvania State University, State College, PA
Coursework focused on bioinformatics, molecular biology, genetics, and applied/theorhetical statistics.
Bachelor of Exercise Science w/ Medical Emphasis
2013 - 2016
Ithaca College, Ithaca, NY
Coursework focused on clinical exercise physiology, neuromuscular control, and health/human performance.
References
Contact Information Available Upon Request
- Dr. Justin Silverman, Penn State University
- Dr. Nicole Lazar, Penn State University
- Dr. David Koslicki, Penn State University
- Dr. Jordan Bisanz, Penn State University
- Dr. Richard Bell, Hospital for Special Surgery
- Dr. Miguel Otero, Hospital for Special Surgery
- Dr. Scott Rodeo, Hospital for Special Surgery
Latest Research Experiences
Phd Thesis Graduate Position
2024-Present
Dr. Justin Silverman and Dr. Nicole Lazar Laboratories, Pennsylvania State University, State College, PA
- Area of Interest: Statistical rigor and reproducibility for biopharmaceutical informatics, drug design, molecular diagnostics, and methods for biological marker development
- Dissertation: Development of statistical and machine learning methods for biological analysis with particular focus on the covaration, interaction, measurement error, partially identified models, and unacknowledged bias.
- Statistical Rigor and Reproducibility through Uncertainty and Sensitivity Diagnostics for Preprocessing Steps in Genetic Biological analysis
Phd Lab Rotation
2023 - 2024
Dr. Ilias Georgakopoulos-Soares Laboratory, Pennsylvania State University, Hershey and State College, PA
- K-mer based algorithm development and analyses for pathogen detection, species evolution, and comparative genomics.
- Disease and Functional analysis of whole genomes and database development.
- Developed machine learning methods to predict metabolic disease in case control studies from genomic data
- Authored several manuscripts including a review of kmer based applications
Phd Lab Rotation
2023
Dr. Yogasudha Veturi Laboratory, Pennsylvania State University, State College, PA
- Worked on longitudinal analysis of the TriNetX database to discover disease trajectories associated with Alzheimer's Disease.
Phd Lab Rotation
2023
Dr. Stefan Canzar Laboratory, Pennsylvania State University, State College, PA
- Learned about developing algorithms for single cell multi-modal sequencing with a focus on sketching.
Phd Lab Rotation
2022 - 2023
Dr. Daijiang Liu Laboratory, Pennsylvania State University, Hershey, PA
- Developed a python script for twins analysis in the MarketScan Dataset.
- Estimated genetic heritability of monozygotic, same sex dizygotic, and opposite sex dizygotic twins.
Volunteer Biostatistics Research Assistant
2021 - 2022
Dr. Samprit Banerjee Laboratory, Weill Cornell Medical College, New York, NY
- Analyzing passive mobile health time series data and developing feature generation and machine learning methods for predicting depression outcomes longitudinally in Python
Postbaccalaureate Researcher
2018 - 2022
Dr. Miguel Otero and Dr. Scott Rodeo Laboratories, Hospital for Special Surgery, New York, NY
- Integrated clinical information and imaging analyses (Histology, Ultrasonography, and X-Ray) in Python. These studies aimed to use unsupervised clustering methods such as Agglomerative Hierarchical Clustering, K Means, and Gaussian Mixture) to identify patient subsets and develop precision medicine approaches. Implemented bootstrapping, heuristic assessment of models, generalized linear models, regularized models such as L1 and L2 penalization, and imputation strategies such as MICE and K nearest neighbors. Packages such as SKLearn and NbClust were used for analysis.
- Assembled an immunocytochemistry image analysis pipeline using supervised machine learning approaches to count, segment, and classify the responses of human synovial fibroblasts to TGFb in vitro
- Assisted in developing a deep learning pipeline in Python (Random forest and DCNN) to classify and segment histological images in QuPath
- Wrote regulatory protocols for FDA compliance, handled medical device equipment and testing intraoperatively, and managed clinical trials for interventional cellular therapy clinical trial
- Worked collaboratively in patient enrollment, data collection, and data analysis in multiple clinical studies
- Processed human and murine tissue and cell samples and performed biological experimentation such as flow cytometry, ELISA, and primary cell culture
- Contributed to the development, design, and budgeting of research projects and a technological spin off company called New York Testing Solutions, LLC
Contact
Please reach out for connections and collaborations.
Location:
Astoria, New York, NY 11102
Email:
Maxwellkonnaris @ gmail . com
Call:
+1 917 496 0340