Kaizen Nathani Email & Phone Number
Who is Kaizen Nathani? Overview
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Kaizen Nathani is listed as Research Data Analyst - Bioinformatics at Johns Hopkins Medicine, a with 9030 employees, based in United States. AeroLeads shows a matched LinkedIn profile for Kaizen Nathani.
Kaizen Nathani previously worked as Campus Ambassador at Regeneron and Intern - Research Program Management at Regeneron. Kaizen Nathani holds Master Of Science - Ms, Bioinformatics, 4.0 Gpa (Cumulative Sem-Ii) from The Johns Hopkins University.
Email format at Johns Hopkins Medicine
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About Kaizen Nathani
Bioinformatics Graduate Student at Johns Hopkins University with a passion for advancing precision medicine through innovative omics approaches. Committed to leveraging cutting-edge technologies and genetic insights to revolutionize personalized therapeutics and enhance decision support for medical practitioners. Eager to contribute to the development of novel approaches and tools in precision omics, ultimately improving patient outcomes and advancing the forefront of precision medicine.
Listed skills include C++, Java Database Connectivity, Weka, Qsar, and 32 others.
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Kaizen Nathani work experience
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Campus Ambassador
Current
Intern - Research Program Management
Interned under the Research Program Management wing in the drug discovery pipeline. Responsibilities:- Develop an AI-driven tool for conducting comparative structural analyses of therapeutic proteins, leveraging data from comparator patents.- Conducting workforce analytics to evaluate existing discovery management tools for driving operational efficiency
Bioinformatician
CurrentAt the Larman Lab, contributing to a precision immunology study focused on colorectal cancers, utilizing PhIP-Seq (Phage ImmunoPrecipitation Sequencing) for comprehensive antibody profiling, while managing the lab's next-generation sequencing (NGS) data processing efforts.Key Responsibilities:- Execute upstream processing of PhIP-Seq FASTQ files, including quality control, read alignment, fold enrichment calculations, and fold change estimation for hits.- Write, maintain, and customizing shell scripts for up-stream processing NGS data. - Perform downstream analysis to explore varying peptide reactivity patterns in colorectal cancer (CRC) samples to determine immunological signatures in a pathogenic context.
Graduate Student Researcher
CurrentAs a researcher at the Yegna Lab within the JHU Sidney Kimmel Comprehensive Cancer Center, my focus lies in analyzing WGS and bulk-RNAseq data extracted from prostatectomy samples obtained from primary prostate cancer patients at Johns Hopkins. Our study seeks to elucidate alternative isoform expression and splicing patterns in prostate cancer, particularly examining how these signatures vary across different racial ancestries that showcase differences in clinical outcomes.Executed the following RNASeq pipeline for Alternate splicing and isoform analysis:Up-stream processing:- FastQC Quality Control- Read Alignment using STAR- Gene and Isoform quantification using RSEM and Leafcutter- Variant Calling using FreeBayesDown-stream analysis:- Ancestry Estimation using signature SNPs using Admixture- Cellular Deconvolution using MCPcounter- Copy Number variation estimation using CNVkit- Differential Gene Expression analysis DESeq2- Differential Isoform Utilization using DRIMSEQ- Gene Expression Enrichment Analysis using FGESA- Survival Analysis using Survival and SurvFit
Graduate Assistant
CurrentWorking as a Graduate Assistant at the Chen Lab on Cognitive Neuroscience. Responsible for creating 3D synthetic images using MATLAB serving as crucial stimuli in cognitive experiments aimed at unraveling the science behind memory retrieval processes. These experiments utilize realistic stimuli and behaviors, including movies and narratives, to delve into the complex mechanisms by which individuals construct and recall memories of real-world episodes. Through my contributions, I aid in advancing our understanding of how mnemonic and sensory systems dynamically interact to shape our perception of the present moment, thus informing broader inquiries in psychology, neuroscience, and artificial intelligence.
Data Annotator
Worked at the Computational Cognition, Vision, and Learning(CCVL) Yuille's lab as a Graduate Research Assistant on computer vision model training.Responsibilities:- Image annotation using Blender- Image dataset preparation- Model training
Data Engineer
Worked as a Data Engineer for Johns Hopkins School of Education in collaboration with Vision For Baltimore. My primary responsibility revolved around designing and implementing robust ETL (Extract, Transform, Load) pipelines and data-cleaning processes. These pipelines were pivotal in harmonizing and analyzing student vision service usage data gathered from diverse sources. Moreover, I spearhead exploratory data analysis on the processed data, unearthing valuable insights and usage patterns. These insights serve as a cornerstone for data-driven decision support, enabling us to tailor vision services more effectively to meet the unique needs of students.
Math Tutor
Working as a Math Tutor for the Henderson Hopkins tutoring program under the Johns Hopkins Centre for Education Outreach division. Tutored remedial students from grades 4-8
Research Assistant
Worked as a Research Assistant for Prof. Mele at JHU Carey School Of Business. My role involved conducting research in the field of network analysis, focusing on the simulation and prediction of human networking interactions. I contributed to the development and implementation of methodologies aimed at understanding the dynamics of human networks. Leveraging advanced analytical techniques, I analyzed large datasets to uncover patterns and trends in social interactions, identifying key factors influencing network formation and evolution.
Summer Fellow
Chosen as a Summer Fellow for the Summer Incubator program at Johns Hopkins Technology Ventures, housed within the Pava Marie Centre (formerly Fast Forward U). Engaged in conducting preliminary market research and spearheaded the development of a Minimum Viable Product (MVP) for a genetic testing platform as part of my venture. Won the best pitch award during the tenure.
Software Engineer - Clinical Informatics
Trainee Software Engineer - Clinical Informatics
Data Analyst Intern
Worked as an Intern at Moog India Technology Centre Pune under the Medical Devices Group Support Department on the project named ‘Data Analysis of Enteral and Infusion pump event logs for Data Driven Product Development’Responsibilities:- ETL pipeline for semi-structured product data- Data Profiling of and identifying outliers - Data quality enhancement - Dimensional Descriptive analysis- Data Visualisation
Head Developer
Worked as the Head developer of the team and represented the university in the national Level Smart India Hackathon Competition 2020. Qualified till the grand finale and secured as runner ups.
Internship Trainee
Hands on working experience on flow cytometer and basic molecular biology techniques
Colleagues at Johns Hopkins Medicine
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Fiona Gleeson
Colleague at Johns Hopkins MedicineLimerick Metropolitan Area, Ireland
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Xiaoqin Zhang
Colleague at Johns Hopkins MedicineTarrytown, New York, United States
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Eric Kammer
Colleague at Johns Hopkins MedicineEdison, New Jersey, United States
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Jennifer Fantl, Pacs
Colleague at Johns Hopkins MedicineProsper, Texas, United States
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Noah Clifton
Colleague at Johns Hopkins MedicineRensselaer, New York, United States
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Star Kennedy
Colleague at Johns Hopkins MedicineNew York City Metropolitan Area, United States
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Kathleen Calcote
Colleague at Johns Hopkins MedicineBrookhaven, Mississippi, United States
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Chris B.
Colleague at Johns Hopkins MedicineAlbany, New York Metropolitan Area, United States
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Kitty Mattina
Colleague at Johns Hopkins MedicineSchenectady, New York, United States
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Greg Moore
Colleague at Johns Hopkins MedicineMalone, Florida, United States
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Kaizen Nathani education
Master Of Science - Ms, Bioinformatics, 4.0 Gpa (Cumulative Sem-Ii)
Bachelor Of Technology - Btech, Bioengineering And Bioinformatics, 8.55 Cgpa (3.6/4)
Elementary Schooling, Science, 9.2 Cgpa
Frequently asked questions about Kaizen Nathani
Quick answers generated from the profile data available on this page.
What company does Kaizen Nathani work for?
Kaizen Nathani works for Johns Hopkins Medicine.
What is Kaizen Nathani's role at Johns Hopkins Medicine?
Kaizen Nathani is listed as Research Data Analyst - Bioinformatics at Johns Hopkins Medicine.
Where is Kaizen Nathani based?
Kaizen Nathani is based in United States while working with Johns Hopkins Medicine.
What companies has Kaizen Nathani worked for?
Kaizen Nathani has worked for Johns Hopkins Medicine, Regeneron, The Johns Hopkins University, The Johns Hopkins University - Carey Business School, and Johns Hopkins Technology Ventures (Jhtv).
Who are Kaizen Nathani's colleagues at Johns Hopkins Medicine?
Kaizen Nathani's colleagues at Johns Hopkins Medicine include Fiona Gleeson, Xiaoqin Zhang, Eric Kammer, Jennifer Fantl, Pacs, and Noah Clifton.
How can I contact Kaizen Nathani?
You can use AeroLeads to view verified contact signals for Kaizen Nathani at Johns Hopkins Medicine, including work email, phone, and LinkedIn data when available.
What schools did Kaizen Nathani attend?
Kaizen Nathani holds Master Of Science - Ms, Bioinformatics, 4.0 Gpa (Cumulative Sem-Ii) from The Johns Hopkins University.
What skills is Kaizen Nathani known for?
Kaizen Nathani is listed with skills including C++, Java Database Connectivity, Weka, Qsar, Moe, Data Analysis, Data Mining, and Biostatistics.
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