Lilia Evgeniou is a PhD student in Systems, Synthetic, and Quantitative Biology with eight years of interdisciplinary research experience spanning wet lab and computational methods. She has trained at top labs—Harvard (Feng Zhang), MIT (Ron Weiss, Manolis Kellis), Max Planck, and RIKEN—building expertise in molecular cloning, tissue culture, mass spectrometry proteomics, sequencing analysis, and machine learning for genomics. Her work uniquely combines hands-on experimental design (protein-level circuits using inteins and NLS) with software development, including a Python package to assemble proteoform sequences from MS-derived peptides. She has applied gapped k-mer SVMs and comparative epigenomic pipelines to probe Alzheimer’s-related regulatory variation, showing strength in translating biological questions into computational solutions. Based in the United States with an Oxford biochemistry background, she contributes code on GitHub and brings a rare cross-domain fluency that accelerates hypothesis-to-data cycles.
8 years of coding experience
Coursera
Ecole Jeannine Manuel
MITx on edX
Integrated Masters, Biochemistry (Molecular and Cellular), Integrated Masters, Biochemistry (Molecular and Cellular) at University of Oxford
Doctor of Philosophy - PhD, Systems, Synthetic, Quantitative Biology, Doctor of Philosophy - PhD, Systems, Synthetic, Quantitative Biology at Harvard University
Acquisition and analysis of Ca++ imaging and behavior video streams without academic opportunism
Contributions:3 pushes in 8 months
vmsdata-processingstreamsvideo-streamsimaging
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Lilia Evgeniou - PHD Student at Harvard University