Eli Niktab
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Eli Niktab Email & Phone Number

Applied Machine Intelligence Fellow at The Australian National University
Location: Canberra, Australian Capital Territory, Australia 12 work roles
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Role
Applied Machine Intelligence Fellow
Location
Canberra, Australian Capital Territory, Australia

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Eli Niktab is listed as Applied Machine Intelligence Fellow at The Australian National University, based in Canberra, Australian Capital Territory, Australia. AeroLeads shows a matched LinkedIn profile for Eli Niktab.

Eli Niktab previously worked as Applied Artificial Intelligence Scientist at The Australian National University and Founder at Ai-Omics.

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Email format at The Australian National University

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The Australian National University

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Profile bio

About Eli Niktab

I have research experience in academic, policy making, clinical, and industrial settings, specializing in exploring multi-feature data (particularly omics) through in silico, in vitro, and in vivo methodologies. My primary interests include Applied AI for Health, Stochastic Modeling of Heterogeneous Systems, Manifold Learning for Regulatory Networks, and Functional Genomics.

Listed skills include Molecular Biology, Genetics, Python, R, and 11 others.

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The Australian National University
The Australian National University
Applied Machine Intelligence Fellow
Canberra, ACT, AU
AeroLeads page
12 roles

Eli Niktab work experience

A career timeline built from the work history available for this profile.

Founder

Current

Wellington, New Zealand

Our advanced AI algorithms analyze individual genomes to provide tailored recommendations for optimal health management and the most effective chemotherapy regimens.

Sep 2023 - Present

Ai Research Scientist

Wellington Region, New Zealand

https://www.callaghaninnovation.govt.nz/people/our-people/eli-niktab/>> Led the Precision Medicine initiative at CI resulted in proprietary algorithms.>> Implemented solutions using Neo4j graph databases that significantly reduced search time on the customer's data, enabling the introduction of new services and further R&D.>> Developed knowledge bases.

Mar 2021 - Aug 2024

Principal Technical Consultant

>>Disease Prediction, Protein–protein interactions, Sequencing and metabolic pathways analysis.

Feb 2023 - Jul 2024

Senior Data & Applied Scientist

Wellington, New Zealand

>> Designed the data science project life-cycle and standardized project structure within the Analytic and Insight team.>> Mentored and trained analysts to adopt machine learning methodology and ingrain data science techniques in their research and evaluation pipelines to ensure delivery of reliable, fast, and robust insights.>> Trained staff on best.

Jan 2020 - Mar 2021

Data Scientist

Welington

>> Data wrangling, time series forecasting, cohort analysis, and data visualization for various projects, including New Zealand's school-wide Positive Behaviour for Learning and Learning support.>> Performed a battery of qualitative research using New Zealand’s Integrated Data Infrastructure (IDI) that holds microdata about life events, like education.

Sep 2019 - Dec 2019

Research Scientist

>> Research and statistical modeling. >> Modeled breast cancer susceptibility from proteogenomics data.Python, C/C++, SQL, Bash, gcloud CLI, Docker CLI NYU HPC, GCP, CentOS, Slurm, Tensorflow, Keras, Abseil, Protobuf, CUDA, Bazel, Singularity, Git

Oct 2018 - Sep 2019

Science Technician Ii

Wellington & Wairarapa, New Zealand

>> ELISA development, optimization, and analysis for the New Zealand Mycoplasma Bovis response team.

Jan 2018 - Dec 2018

Teaching Assistant

Wellington, Wellington Region, New Zealand

>> Taught and tutored R, Advanced Genetics and Physiology to second and third-year university students.

Feb 2018 - Nov 2018

Graduate Research Assistant

Wellington

>> Designed genome-scale algorithms and implemented machine learning methods (eg. feature extraction and classification) for analysis of next-generation sequencing data. >> Developed software for cellular image analysis.>> Modeled genetic polymorphisms using deep learning, Bayesian heuristics, and applied various statistical and mathematical models to big.

Jul 2015 - Dec 2017

Teaching Assistant

Wellington & Wairarapa, New Zealand

Tutored high school level chemistry.

Jul 2016 - Sep 2016
FAQ

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What company does Eli Niktab work for?

Eli Niktab works for The Australian National University.

What is Eli Niktab's role at The Australian National University?

Eli Niktab is listed as Applied Machine Intelligence Fellow at The Australian National University.

Where is Eli Niktab based?

Eli Niktab is based in Canberra, Australian Capital Territory, Australia while working with The Australian National University.

What companies has Eli Niktab worked for?

Eli Niktab has worked for The Australian National University, Ai-Omics, Callaghan Innovation, 4Omix, and Ministry Of Education Of New Zealand.

How can I contact Eli Niktab?

You can use AeroLeads to view verified contact signals for Eli Niktab at The Australian National University, including work email, phone, and LinkedIn data when available.

What skills is Eli Niktab known for?

Eli Niktab is listed with skills including Molecular Biology, Genetics, Python, R, Latex, Dynamic Modeling For System Biology, Matlab, and Data Analysis.

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