Tiffany Ho Email & Phone Number
@ucdavis.edu
1 phone found area 650
LinkedIn matched
Who is Tiffany Ho? Overview
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Tiffany Ho is listed as Lead Data Engineer at Cornell University, based in Ithaca, New York, United States. AeroLeads shows a work email signal at ucdavis.edu, phone signal with area code 650, and a matched LinkedIn profile for Tiffany Ho.
Tiffany Ho previously worked as Data Analyst at Tompkins County District Attorney'S Office and Lead Challenge Course Facilitator at Cornell Team & Leadership Center (Ctlc). Tiffany Ho holds Masters Of Professional Studies (Mps), Plant Breeding And Genetics from Cornell University.
Email format at Cornell University
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AeroLeads found 1 current-domain work email signal for Tiffany Ho. Compare company email patterns before reaching out.
About Tiffany Ho
Bioinformatician experienced in utilizing R, Perl, Python, and various bioinformatics software in an Unix environment for data analysis and visualization. Worked with a variety of data types, including genomic, proteomic, transcriptomic, and epigenomic data.
Listed skills include Pcr, Data Analysis, Research, Cell Culture, and 14 others.
Tiffany Ho's current company
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Tiffany Ho work experience
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Data Analyst
Current- Conducted exploratory data analysis in Python and R to identify strategic opportunities for policy changes and to provide actionable insights for enhancing the decision making processes- Developed interactive dashboards in Plotly Dash and Power BI for both internal and external use that streamlined data access- Improved transparency and public engagement with a public facing dashboard (https://www.tompkinscountyny.gov/da-dashboard)- Collaborated with internal and external agencies to gain insights into the current information technology landscape and to provide recommendations for procedures regarding data collection and analysis- Contributed to the advancement of key initiatives, including the Reimagining Public Safety initiative- Optimized data processing and increased efficiency of the report retrieval process
Lead Challenge Course Facilitator
Current
Lead Challenge Course Facilitator (Highs)
Challenge Course Facilitator
Bioinformatics Research Associate
- Built machine learning models in Python to estimate the effect sizes of the associated markers, which led to the integration of a trait (feature) into the product- Utilized SQL to work with an internal database of over 1 million dogs and over 230,000 genetic markers- Collaboratively developed and implemented a genomic prediction workflow in 4 months, which led to the release of two traits (features) incorporated into the product- Created visualizations with seaborn for both data exploration and statistical summaries, which played a key role in guiding project directions- Developed multiple pipelines for bioinformatics analyses including for NGS (next-generation sequencing) analysis, haplotype mapping and downloading/processing data from public databases- Contributed to the increased automation of the breed calling pipeline, starting from 0% automated to about 99% automated, which greatly reduced processing time and increased accuracy- Served as the lead breed caller and subject matter expert
Firefighter/Emt
- Responsible for suppressing fires, providing emergency medical services, performing technical rescues, and responding to hazardous materials incidents- Drove and operated fire apparatus, as well as a variety of specialized tools and equipment for emergency incidents- Performed routine maintenance, repair, and cleaning of equipment, tools, buildings, and property
Laboratory Technician
- Worked with an interdisciplinary team of researchers to perform next generation sequencing analyses of the molecular heterogeneity in blood plasma samples- Performed and oversaw sample preparations- Conducted, designed and maintained process quality control- Managed sample banking and tracking
Graduate Research Assistant
- Used machine learning techniques in R and Apache Spark to predict functional sites in maize- Analyzed regions flanking MNase sites in maize using Python, R, and Perl- Determined the importance of each position within a codon in maize using Python and R- Planted, pollinated, harvested, and phenotyped maize in the field
Bioinformatics Intern
- Developed tools for data analysis using Perl- Created a Shiny application in R that allowed scientists to interactively design experiments- Built additional features for the web interface for an internal database- Searched the literature to identify published bacterial gene clusters that produce desirable and/or undesirable secondary metabolites
Bioinformatics Data Analyst
- Manipulated, analyzed, and visualized data, including large-scale genomics data, DNA/RNA sequences, and protein data for de novo genome assembly and annotation using Perl
Bioinformatics Intern
- Built interactive web applications with Shiny (in R) that visualized various properties of plants
Analyst Assistant
- Worked with Oracle Databases- Conducted R based data analysis on pedagogical techniques for STEM instruction- Coded evaluation data following specified protocols
Laboratory Intern
- Performed in situ hybridization on leech embryos to obtain temporal and spatial information about gene expression - Modeled NSG (Next Generation Sequencing) reads in R to design a peak efficient algorithm for future sequencing
Bioinformatics Intern
- Formulated scripts in Perl and worked in an Unix environment to develop a ranking system for gene isoforms in genome databases
Undergraduate Tutor
- Tutored fellow undergraduate students in biochemistry
Laboratory Assistant
- Prepared and analyzed leaf and petiole samples from different soil conditions to determine how well different types of rootstocks perform on different soil conditions and how well they supply the clone with nutrients- Compared soil solution chemistry to determine how tolerant the different types of rootstock were to additions of irrigation water spiked with different levels of soluble salts
Materials Science And Engineering Intern
- Used COMSOL, a multiphysics modeling and simulation software to determine the ideal dimensions of nanostraws under different conditions
Tiffany Ho education
Masters Of Professional Studies (Mps), Plant Breeding And Genetics
Bachelor Of Science (Bs), Genetics And Genomics
Frequently asked questions about Tiffany Ho
Quick answers generated from the profile data available on this page.
What company does Tiffany Ho work for?
Tiffany Ho works for Cornell University.
What is Tiffany Ho's role at Cornell University?
Tiffany Ho is listed as Lead Data Engineer at Cornell University.
What is Tiffany Ho's email address?
AeroLeads has found 1 work email signal at @ucdavis.edu for Tiffany Ho at Cornell University.
What is Tiffany Ho's phone number?
AeroLeads has found 1 phone signal(s) with area code 650 for Tiffany Ho at Cornell University.
Where is Tiffany Ho based?
Tiffany Ho is based in Ithaca, New York, United States while working with Cornell University.
What companies has Tiffany Ho worked for?
Tiffany Ho has worked for Cornell University, Tompkins County District Attorney'S Office, Cornell Team & Leadership Center (Ctlc), Embark Veterinary, and Ithaca Fire Department.
How can I contact Tiffany Ho?
You can use AeroLeads to view verified contact signals for Tiffany Ho at Cornell University, including work email, phone, and LinkedIn data when available.
What schools did Tiffany Ho attend?
Tiffany Ho holds Masters Of Professional Studies (Mps), Plant Breeding And Genetics from Cornell University.
What skills is Tiffany Ho known for?
Tiffany Ho is listed with skills including Pcr, Data Analysis, Research, Cell Culture, Biochemistry, Gel Electrophoresis, Matlab, and Fluorescence Microscopy.
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