

Hey
There!
I'm a Data Scientist and Systems Biophysicist leveraging machine learning and physics-based modeling to maximize data usage and accelerate therapeutics and diagnoses development.
Dr. Davneet Kaur, Ph.D. Physics
University of Illinois, Urbana Champaign
With over 12 years of work experience in academia and biotech startups, I specialize in developing models of complex systems to deliver actionable insights, which has led to several patents and publications. I utilize physics-based modeling and computational tools, including machine learning, to analyze multidimensional data, generate meaningful interpretations, and support hypothesis-driven experiment design. My career has been dedicated to advancing the understanding of biological processes and developing innovative solutions.
Education & Certifications

Ph.D. Physics,
University of Illinois Urbana Champaign
Summa Cum Laude, GPA 3.93
Thesis: Revealing Transposable Element Dynamics Driving Evolutionary Transitions Through Direct Observation in Live Cells

B.Sc. Physics & B.A. Applied Mathematics, B.A. Biological Anthropology,
CUNY Queens College
Summa Cum Laude, GPA 3.98
Thesis: Stochastic Resonance in a Proton Pumping Complex I of Mitochondria Membranes

Data Science & Bioinformatics Projects
I have developed a diverse array of machine learning tools and possess expertise in bioinformatics toolsets.
Built a model that identifies human ancestry based on snps genotypes using a stack of random forest classifiers.
Predicting future tenant value using using past data to train a random forest regressive model. I provide recommendations on unit pricing, applicant quality, and effective targeting.
Used Fastqc, BWA-MEM, GATK, and Samtools to make variant calls on sequencing data from the thousand genomes project. Determined effective pre-sequencing QC metrics to predict samples which will pass/fail sequencing coverage and variant calling.
Systems Biology Projects
I use my unique expertise in physics-based modeling and deep knowledge of biology to develop quantitative models of biological phenomenon that support hypothesis-driven experiment design.
Revealed the stochastic resonance that enables transfer of protons to a higher energy state in the mitochondrial complex I. I simulated the transfer of protons and electrons across electrostatic potentials and their interaction with a conformationally changing helical protein by solving the (Langevin) equations
Determined protein TnpBp function by leveraging molecular dynamics modeling to derive hypotheses and direct experiment design. Utilized high performance computing resources to determine numerical solutions of coupled ODE simulations solving a long open scientific question. Designed a gene-editing tool based on my model of transposon dynamics.
Built a data-driven reaction kinetics-based model (ODEs) for ASO-RNaseH targeting of multiple RNAs in solution to analyze in-vitro & in-vivo allele specificity data from which I determined and automated a rigorous normalization technique and data interpretation.


​“Davneet is an exceptional scientist with a rare combination of skills. Davneet's background in both physics and biology allowed her to bring a unique perspective to our research. Davneet is an expert in data analysis, quantitative thinking, and hypothesis-driven research. She consistently delivered high-quality results in a timely manner, often exceeding expectations."
Dr. Steven Kuntz
Sr. Director of Bioengineering at Creyon Bio
"In her quest to improve data efficiency and consistency, Davneet utilized automation, algorithmic fitting, and computational analysis. With a background in physics but a strong interest in biology, she provided a useful perspective for investigating biochemical assays."
Ketaki Ghatole
Data Analyst at Creyon Bio
"Davneet's exceptional analytical skills and ability to interpret data accurately to provide valuable insights were instrumental in driving our research forward. Beyond her technical skills, Davneet is a fantastic colleague. Her positive attitude and collaborative spirit made her an invaluable asset. Working with her was both an enjoyable and an enriching learning experience. "
