Update README.md
Browse files
README.md
CHANGED
@@ -30,119 +30,19 @@ print(tokenizer.decode(outputs[0]))
|
|
30 |
|
31 |
|
32 |
___________________________________
|
33 |
-
# *ADVERTISING BREAK*
|
34 |
|
35 |
I’m on the hunt for new challenges and a chance to dive into some exciting research opportunities. Oh, and did I mention I just snagged a top spot on the Open LLM leaderboard? 🎉
|
36 |
|
37 |
|
38 |
|
39 |
-
## CV - Dr David Noel Ng
|
40 |
-
|
41 |
-
|
42 |
#### Profile
|
43 |
Innovation enthusiast, AI-strategist, and interdisciplinary-tech nerd – that's me! With over a decade of experience in research and project management, my professional journey has been largely shaped by my passion for artificial intelligence and its potential to transform various industries. With a solid background in artificial intelligence and machine learning, coupled with a knack for innovation and problem-solving (and a healthy dose of curiosity), I'm excited to bring my skills to a new team.
|
44 |
|
45 |
Originally from Australia, where I earned my degrees in Organic Chemistry and Biochemistry, I moved to Germany in 2004. My academic pursuit continued with a Ph.D. in Chemistry at the Max Planck Institute of Biochemistry. Today, I leverage my robust educational background and diverse industry experience to drive AI innovations in a wide range of applications. Hobbies? Lots: I've also built the world's most powerful espresso machine and am working to bring [GLaDOS to life](https://github.com/dnhkng/GlaDOS).
|
46 |
|
47 |
|
48 |
-
___________________________________
|
49 |
-
### PROFESSIONAL EXPERIENCE
|
50 |
-
#### SENIOR GLOBAL INNOVATION STRATEGIST - ARTIFICIAL INTELLIGENCE
|
51 |
-
#### Munich Re | Munich | 05/2023 - Now
|
52 |
-
|
53 |
-
As a Senior Global Innovation Strategist at Munich Re, my passion is in steering AI/ML strategies, maximizing project impact, and advancing the use of cutting-edge technology. I built the AI Accelerator, which drives the rapid and structured development of AI use-case Implementations.
|
54 |
-
#### AI CONSULTANT - LEAD AI ENGINEER
|
55 |
-
#### appliedAI UTUM | Munich | 04/2019 - 04/2023
|
56 |
-
|
57 |
-
In my tenure at appliedAI, I held a leadership role where I spearheaded the successful development and execution of various AI/ML proof-of-concept (POC) and minimum viable product (MVP) projects. I utilized a hands-on approach to drive ideation, planning, and delivery of these solutions for our clients.
|
58 |
-
|
59 |
-
- AI-Controlled Imaging: Directed a PoC of an AI-Controlled Electron Microscope using Reinforcement Learning for a premier imaging company.
|
60 |
-
- Anomaly Detection: Oversaw development of security systems utilizing anomaly detection, integrating diverse technologies to boost client security at the Munich Security Conference..
|
61 |
-
- Project Optimization: Implemented AlphaZero-based Graph Optimization for project management in the Nuclear Energy sector.
|
62 |
-
- Food Safety: Delivered a PoC for industrial food safety equipment, significantly improving detection sensitivity.
|
63 |
-
- NLP Consulting: Consulted on automated document analysis and risk assessment for the European Central Bank, leveraging NLP technologies.
|
64 |
-
- Aerospace Anomaly Detection: Developed a PoC for Aerospace manufacturing, using generative diffusion models to create synthetic data for training anomaly detection models.
|
65 |
-
- Retail Automation: Applied Vision and Skeletal Tracking for supermarket automation, modernizing retail operations.
|
66 |
-
- Public Speaking and Training: Regularly presented talks and training sessions on topics such as KI-Transfer Plus for the Bayerischen Staatsministeriums für Digitales, and KI in Biotech for the BioEntrepreneurship Summit, spreading AI knowledge and fostering digital transformation in the Health/Pharma sector..
|
67 |
-
|
68 |
-
|
69 |
-
#### PROJECT LEAD - INNOVATIVE TECHNOLOGIES
|
70 |
-
#### Nanotemper Technologies GmbH | Munich | 5/2016 - 3/2019
|
71 |
-
|
72 |
-
Project Lead in the Future Technologies Department, Scientist Bioanalytics and all-rounder in bioanalytics/data/optoelectronics. Contributions and successes:
|
73 |
-
- Created and applied Deep Learning models for interpreting biophysical data for pharmaceutical stability in antibody development
|
74 |
-
- Designed, built, and programmed prototype optoelectronic apparatus for the rapid analysis of biosimilar pharmaceutical molecules
|
75 |
-
- Introduced FPGA technology for high-speed data collection and analysis, now used in the key products at Nanotemper
|
76 |
-
|
77 |
-
#### RESEARCH SCIENTIST
|
78 |
-
#### Max Planck Institute Of Neurobiology | Martinsried | 02/2016 - 04/2019
|
79 |
-
|
80 |
-
Driven by an interest in Biotech, I found a role in research working on biosensors, particularly on optical probes of neural activity (Optogenetics). Contribution and success:
|
81 |
-
- Designed, built and utilized a robotic screening platform for the high-throughput engineering of biosensors.
|
82 |
-
- Utilised image-processing and machine-learning techniques to collect and analyse biosensor data.
|
83 |
-
- Automated the development of large molecules by FACS-based directed protein evolution.
|
84 |
-
- Patented new CRISPR/Cas9 technology for high-throughput protein engineering.
|
85 |
-
|
86 |
-
#### CONSULTANT FOR THE NETFLIX SERIES 'BIOHACKERS'
|
87 |
-
#### Netflix | Munich | 01/2019 - 12/2019
|
88 |
-
|
89 |
-
In this role, I advised on the scientific concepts, storylines and film set for this popular Netflix series. Contribution and success:
|
90 |
-
- Helped design and build the Laboratory and ‘Biohacking’ labs
|
91 |
-
- Modified the scripts to keep scientific accuracy
|
92 |
-
- Location scouting and liaison with the LMU to organise research labs for filming
|
93 |
-
|
94 |
-
#### Doctoral Candidate
|
95 |
-
#### Max Planck Institute for Biochemistry
|
96 |
-
|
97 |
-
My PhD thesis was all about Optical brain-computer interfaces, and synthesizing molecular sensors for optically imaging brain activity. I devised a new biomolecular targeting technique and developed compounds for high-speed optical analysis of neuron activity.
|
98 |
-
- Molecular Sensor Development: Designed, synthesized, and tested molecular sensors to optically image brain activity, advancing neuroimaging capabilities.
|
99 |
-
- Biomolecular Targeting Technique: Developed a novel technique for labelling live cells with organic dye, utilizing pro-drug techniques used in pharmaceutical development, enhancing the precision of cell tracking and analysis.
|
100 |
-
- Neuronal Activity Analysis: Designed a high-speed optical analysis setup for cultured neurons and developed specialized compounds for this purpose, improving our understanding of neuron activity.
|
101 |
-
|
102 |
-
## SKILLS
|
103 |
-
- Strong interest in customer experience and Machine Learning transformations (e.g. expectation management, stakeholder alignment, team reorganization etc.)
|
104 |
-
- Ability to work autonomously in the completion of deliverables
|
105 |
-
- Ability to provide technical and analytic direction, guidance and roadmaps for ML projects
|
106 |
-
- Excellent communication and presentation skills: able to explain Analytics in non-technical terms to business users (C-level, investors, public presentations etc.)
|
107 |
-
- Deep technical expertise and strong problem-solving and data-analysis skills
|
108 |
-
|
109 |
-
|
110 |
-
|
111 |
-
## AWARDS
|
112 |
-
|
113 |
-
#### The United Nations COVID-19 Detect & Protect Challenge
|
114 |
-
- The United Nations Development Programme Centre for Technology, Innovation and Sustainable Development · Aug 2020
|
115 |
-
|
116 |
-
#### AI at the Edge Challenge with NVIDIA - Artificial Intelligence of Things (AIoT)
|
117 |
-
- Issued by Nvidia · Mar 2020
|
118 |
-
|
119 |
-
#### Create Intelligence at the Edge - Artificial Intelligence on FPGA
|
120 |
-
- Avnet and Xilinx · Dec 2018
|
121 |
-
|
122 |
-
#### PATENTS
|
123 |
-
- WO2018020050A1 - Targeted in situ protein diversification by site-directed DNA cleavage and repair
|
124 |
-
|
125 |
-
|
126 |
-
## EDUCATION
|
127 |
-
|
128 |
-
#### PhD in Organic Chemistry
|
129 |
-
- Max Planck Institute of Biochemistry
|
130 |
-
|
131 |
-
#### Honours Degree - Biochemistry
|
132 |
-
- Monash University Melbourne
|
133 |
-
|
134 |
-
#### Bachelor of Science - Double Major -
|
135 |
-
- Chemistry / Molecular Biology
|
136 |
-
- University of Tasmania
|
137 |
-
|
138 |
-
#### Nanodegree - Deep Reinforcement Learning
|
139 |
-
- Udacity Online
|
140 |
-
|
141 |
-
#### Nanodegree - Deep Learning
|
142 |
-
- Udacity Online
|
143 |
-
|
144 |
-
|
145 |
___________________________________
|
146 |
I'm based out of Munich, Germany, but I would be interested in working remotely for a team with more compute than my 2x 4090s 🚀
|
147 |
|
148 |
-
#### Reach out via [LinkedIn](https://www.linkedin.com/in/dnhkng)
|
|
|
30 |
|
31 |
|
32 |
___________________________________
|
33 |
+
# *SHAMELESS ADVERTISING BREAK*
|
34 |
|
35 |
I’m on the hunt for new challenges and a chance to dive into some exciting research opportunities. Oh, and did I mention I just snagged a top spot on the Open LLM leaderboard? 🎉
|
36 |
|
37 |
|
38 |
|
|
|
|
|
|
|
39 |
#### Profile
|
40 |
Innovation enthusiast, AI-strategist, and interdisciplinary-tech nerd – that's me! With over a decade of experience in research and project management, my professional journey has been largely shaped by my passion for artificial intelligence and its potential to transform various industries. With a solid background in artificial intelligence and machine learning, coupled with a knack for innovation and problem-solving (and a healthy dose of curiosity), I'm excited to bring my skills to a new team.
|
41 |
|
42 |
Originally from Australia, where I earned my degrees in Organic Chemistry and Biochemistry, I moved to Germany in 2004. My academic pursuit continued with a Ph.D. in Chemistry at the Max Planck Institute of Biochemistry. Today, I leverage my robust educational background and diverse industry experience to drive AI innovations in a wide range of applications. Hobbies? Lots: I've also built the world's most powerful espresso machine and am working to bring [GLaDOS to life](https://github.com/dnhkng/GlaDOS).
|
43 |
|
44 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
45 |
___________________________________
|
46 |
I'm based out of Munich, Germany, but I would be interested in working remotely for a team with more compute than my 2x 4090s 🚀
|
47 |
|
48 |
+
#### Reach out via [LinkedIn - Dr David Noel Ng](https://www.linkedin.com/in/dnhkng)
|